Interview Questions.

Top 100+ Azure Cosmos Db Interview Questions And Answers

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Top 100+ Azure Cosmos Db Interview Questions And Answers

Question 1. What Is Azure Cosmos Db?

Answer :

Azure Cosmos DB is a globally replicated, multi-model database provider that that gives wealthy querying over schema-loose statistics, helps deliver configurable and reliable overall performance, and allows speedy development. It's all finished thru a controlled platform that is subsidized by using the power and reach of Microsoft Azure.

Azure Cosmos DB is the proper answer for web, cellular, gaming, and IoT packages when predictable throughput, excessive availability, low latency, and a schema-unfastened data version are key necessities. It provides schema flexibility and rich indexing, and it includes multi-report transactional support with included JavaScript.

Question 2. What Happened To Document Db?

Answer :

The DocumentDB API is one of the supported APIs and records fashions for Azure Cosmos DB. In addition, Azure Cosmos DB supports you with Graph API (Preview), Table API and MongoDB API. 

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Question 3. How Do I Get To My Documentdb Account In The Azure Portal?

Answer :

In the Azure portal, click the Azure Cosmos DB icon within the left pane. If you had a DocumentDB account earlier than, you now have an Azure Cosmos DB account, with out a change on your billing.

Question four. What Are The Typical Use Cases For Azure Cosmos Db?

Answer :

Azure Cosmos DB is a good desire for brand new internet, cell, gaming, and IoT programs in which computerized scale, predictable overall performance, rapid order of millisecond reaction times, and the ability to question over schema-unfastened information is essential. Azure Cosmos DB lends itself to rapid development and supporting the non-stop new release of software information models. Applications that manage person-generated content and statistics are not unusual use cases for Azure Cosmos DB.

SQL Database Tutorial
Question 5. How Does Azure Cosmos Db Offer Predictable Performance?

Answer :

A request unit (RU) is the measure of throughput in Azure Cosmos DB. A 1-RU throughput corresponds to the throughput of the GET of a 1-KB report. Every operation in Azure Cosmos DB, inclusive of reads, writes, SQL queries, and stored process executions, has a deterministic RU price it is based at the throughput required to complete the operation. Instead of considering CPU, IO, and reminiscence and the way they every affect your application throughput, you can think in terms of a unmarried RU measure.

You can reserve each Azure Cosmos DB box with provisioned throughput in terms of RUs of throughput according to second. For applications of any scale, you may benchmark person requests to measure their RU values, and provision a container to handle the entire of request gadgets throughout all requests. You can also scale up or curb your container's throughput because the needs of your utility evolve.

SQL Database Interview Questions
Question 6. How Does Azure Cosmos Db Support Various Data Models Such As Key/fee, Columnar, Document And Graph?

Answer :

Key/cost (desk), columnar, file and graph records fashions are all natively supported due to the ARS (atoms, information and sequences) design that Azure Cosmos DB is constructed on. Atoms, information, and sequences may be without problems mapped and projected to diverse records fashions. The APIs for a subset of models are to be had proper now (DocumentDB, MongoDB, Table, and Graph APIs) and others specific to additional statistics models could be available inside the future.

Azure Cosmos DB has a schema agnostic indexing engine able to automatically indexing all the statistics it ingests without requiring any schema or secondary indexes from the developer. The engine is predicated on a set of logical index layouts (inverted, columnar, tree) which decouple the storage format from the index and question processing subsystems. Cosmos DB also has the ability to assist a fixed of wire protocols and APIs in an extensible manner and translate them efficaciously to the middle statistics model (1) and the logical index layouts (2) making it uniquely able to assisting multiple facts fashions natively.

Question 7. Is Azure Cosmos Db Hipaa Compliant?

Answer :

Yes, Azure Cosmos DB is HIPAA-compliant. HIPAA establishes requirements for the use, disclosure, and safeguarding of individually identifiable fitness records.

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Question eight. What Are The Storage Limits Of Azure Cosmos Db?

Answer :

There is not any restrict to the entire amount of facts that a container can keep in Azure Cosmos DB.

Question nine. What Are The Throughput Limits Of Azure Cosmos Db?

Answer :

There is no restrict to the whole quantity of throughput that a container can help in Azure Cosmos DB. The key idea is to distribute your workload more or less lightly among a sufficiently massive number of partition keys.

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Question 10. How Much Does Azure Cosmos Db Cost?

Answer :

For information, talk to the Azure Cosmos DB pricing info web page. Azure Cosmos DB utilization charges are determined via the wide variety of provisioned containers, the wide variety of hours the boxes were on-line, and the provisioned throughput for every box. The term containers right here refers back to the DocumentDB API series, Graph API graph, MongoDB API collection, and Table API tables.

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Question 11. Is A Free Account Available?

Answer :

Yes, you could join up for a time-confined account at no fee, without a dedication. To join up, visit Try Azure Cosmos DB at no cost or study extra within the Try Azure Cosmos DB FAQ.

If you are new to Azure, you could sign up for an Azure free account, which offers you 30 days and and a credit score to attempt all of the Azure services. If you have a Visual Studio subscription, you are also eligible for free Azure credits to use on any Azure provider. 

You also can use the Azure Cosmos DB Emulator to increase and test your software regionally at no cost, without developing an Azure subscription. When you are happy with how your software is operating inside the Azure Cosmos DB Emulator, you could switch to using an Azure Cosmos DB account within the cloud.

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Question 12. How Do I Sign Up For Azure Cosmos Db?

Answer :

Azure Cosmos DB is available within the Azure portal. First, join up for an Azure subscription. After you've got signed up, you can upload a DocumentDB API, Graph API (Preview), Table API, or MongoDB API account in your Azure subscription.

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Question 13. What Is A Master Key?

Answer :

A grasp key is a security token to get admission to all sources for an account. Individuals with the key have examine and write get entry to to all resources in the database account. Use caution while you distribute master keys. The primary master key and secondary master key are to be had at the Keys blade of the Azure portal.

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Question 14. What Are The Regions That Preferred Locations Can Be Set To?

Answer :

The Preferred Locations cost can be set to any of the Azure areas in which Cosmos DB is to be had. For a list of available regions, see Azure regions.

Question 15. Is There Anything I Should Be Aware Of When Distributing Data Across The World Via The Azure Data Centers?

Answer :

Azure Cosmos DB is gift across all Azure regions, as precise at the Azure areas page. Because it's miles the center carrier, each new datacenter has an Azure Cosmos DB presence.

When you put a location, remember that Azure Cosmos DB respects sovereign and government clouds. That is, in case you create an account in a sovereign location, you can't reflect out of that sovereign place. Similarly, you can not permit replication into other sovereign locations from an outdoor account.

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Question sixteen. How Do I Start Developing Against The Documentdb Api?

Answer :

Microsoft DocumentDB API is to be had within the Azure portal. First you ought to sign on for an Azure subscription. Once you sign on for an Azure subscription, you may add DocumentDB API box to your Azure subscription. For commands on adding an Azure Cosmos DB account, see Create an Azure Cosmos DB database account. If you had a DocumentDB account within the beyond, you currently have an Azure Cosmos DB account.

SDKs are available for .NET, Python, Node.Js, JavaScript, and Java. Developers also can use the RESTful HTTP APIs to engage with Azure Cosmos DB assets from various platforms and languages.

DocumentDB Tutorial
Question 17. Can I Access Some Ready-made Samples To Get A Head Start?

Answer :

Samples for the DocumentDB API .NET, Java, Node.Js, and Python SDKs are to be had on GitHub.

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Question 18. Does The Documentdb Api Database Support Schema-loose Data?

Answer :

Yes, the DocumentDB API lets in packages to keep arbitrary JSON documents without schema definitions or guidelines. Data is at once to be had for question through the Azure Cosmos DB SQL question interface.

SQL Database Interview Questions
Question 19. Does The Documentdb Api Support Acid Transactions?

Answer :

Yes, the DocumentDB API supports cross-record transactions expressed as JavaScript-saved tactics and triggers. Transactions are scoped to a single partition inside each collection and finished with ACID semantics as "all or not anything," remoted from different concurrently executing code and user requests. If exceptions are thrown through the server-side execution of JavaScript application code, the complete transaction is rolled lower back.

Question 20. What Is A Collection?

Answer :

A series is a set of documents and their related JavaScript utility logic. A collection is a billable entity, in which the price is decided by way of the throughput and used garage. Collections can span one or greater partitions or servers and can scale to handle nearly unlimited volumes of storage or throughput.

Collections also are the billing entities for Azure Cosmos DB. Each collection is billed hourly, primarily based on the provisioned throughput and used garage area.

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Question 21. How Do I Create A Database?

Answer :

You can create databases by means of using the Azure portal, as defined in Add a set, one of the Azure Cosmos DB SDKs, or the REST APIs.

Question 22. How Do I Set Up Users And Permissions?

Answer :

You can create users and permissions by way of the usage of one of the Cosmos DB API SDKs or the REST APIs.

Question 23. Does The Documentdb Api Support Sql?

Answer :

The SQL query language is an enhanced subset of the question capability it's supported with the aid of SQL. The Azure Cosmos DB SQL query language offers wealthy hierarchical and relational operators and extensibility through JavaScript-based, user-defined features (UDFs). JSON grammar permits for modeling JSON files as bushes with categorised nodes, that are used by both the Azure Cosmos DB computerized indexing techniques and the SQL question dialect of Azure Cosmos DB.

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Question 24. Does The Documentdb Api Support Sql Aggregation Functions?

Answer :

The DocumentDB API supports low-latency aggregation at any scale through aggregate functions COUNT, MIN, MAX, AVG, and SUM through the SQL grammar.

MySQL Interview Questions
Question 25. How Does The Documentdb Api Provide Concurrency?

Answer :

The DocumentDB API supports positive concurrency manage (OCC) thru HTTP entity tags, or ETags. Every DocumentDB API resource has an ETag, and the ETag is about at the server each time a file is updated. The ETag header and the modern-day value are protected in all response messages. ETags can be used with the If-Match header to permit the server to determine whether or not a resource ought to be updated. The If-Match price is the ETag cost to be checked in opposition to. If the ETag cost matches the server ETag price, the resource is up to date. If the ETag is no longer cutting-edge, the server rejects the operation with an "HTTP 412 Precondition failure" response code. The consumer then re-fetches the useful resource to gather the contemporary ETag fee for the aid. In addition, ETags can be used with the If-None-Match header to decide whether or not a re-fetch of a useful resource is needed.

Question 26. How Do I Perform Transactions In The Documentdb Api?

Answer :

The DocumentDB API helps language-included transactions through JavaScript-saved techniques and triggers. All database operations internal scripts are finished under image isolation. If it is a single-partition collection, the execution is scoped to the gathering. If the collection is partitioned, the execution is scoped to files with the same partition-key value inside the series. A picture of the document versions (ETags) is taken on the start of the transaction and devoted best if the script succeeds. If the JavaScript throws an errors, the transaction is rolled back.

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Question 27. How Can I Bulk-insert Documents Into Cosmos Db?

Answer :

You can bulk-insert documents into Azure Cosmos DB in both of two ways:

The statistics migration device, as defined in Database migration tool for Azure Cosmos DB.
Stored techniques, as described in Server-aspect JavaScript programming for Azure Cosmos DB.
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Question 28. Does The Documentdb Api Support Resource Link Caching?

Answer :

Yes, due to the fact Azure Cosmos DB is a RESTful provider, useful resource hyperlinks are immutable and can be cached. DocumentDB API customers can specify an "If-None-Match" header for reads in opposition to any aid-like document or series and then replace their local copies after the server model has modified.

Question 29. Is A Local Instance Of Documentdb Api Available?

Answer :

Yes. The Azure Cosmos DB Emulator presents a excessive-fidelity emulation of the Cosmos DB provider. It helps capability that is equal to Azure Cosmos DB, which include guide for creating and querying JSON documents, provisioning and scaling collections, and executing saved tactics and triggers. You can increase and take a look at programs by means of the use of the Azure Cosmos DB Emulator, and set up them to Azure at a international scale by making a unmarried configuration trade to the connection endpoint for Azure Cosmos DB.

DocumentDB Interview Questions
Question 30. What Is The Azure Cosmos Db Api For Mongodb?

Answer :

The Azure Cosmos DB API for MongoDB is a compatibility layer that lets in programs to easily and transparently talk with the native Azure Cosmos DB database engine by means of using existing, community-supported Apache MongoDB APIs and drivers. Developers can now use present MongoDB device chains and skills to construct packages that take gain of Azure Cosmos DB. Developers enjoy the unique competencies of Azure Cosmos DB, which include automobile-indexing, backup renovation, financially backed provider level agreements (SLAs), and so on.

Question 31. How Do I Connect To My Api For Mongodb Database?

Answer :

The fastest way to hook up with the Azure Cosmos DB API for MongoDB is to head over to the Azure portal. Go on your account after which, at the left navigation menu, click on Quick Start. Quick Start is the best way to get code snippets to connect with your database.

Azure Cosmos DB enforces strict security necessities and requirements. Azure Cosmos DB debts require authentication and secure communication thru SSL, so make sure to use TLSv1.2.

Question 32. How Can I Use The Table Api Offering?

Answer :

The Azure Cosmos DB Table API is available within the Azure portal. First you ought to join up for an Azure subscription. After you have signed up, you may upload an Azure Cosmos DB Table API account on your Azure subscription, and then add tables on your account.

You can discover the supported languages and associated short-starts within the Introduction to Azure Cosmos DB Table API.

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Question 33. Do I Need A New Sdk To Use The Table Api?

Answer :

No, present garage SDKs should nonetheless paintings. However it's miles encouraged that one constantly gets the modern SDKs for the quality help and in many instances advanced overall performance. See the list of available languages inside the Introduction to Azure Cosmos DB Table API.

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Question 34. How Do I Provide Feedback About The Sdk Or Bugs?

Answer :

You can percentage your remarks in any of the subsequent ways:

User voice
MSDN discussion board
Stack overflow
Question 35. How Do I Override The Config Settings For The Request Options In The .Net Sdk For The Table Api?

Answer :

For statistics approximately config settings, see Azure Cosmos DB capabilities. Some settings are dealt with at the CreateCloudTableClient approach and other thru the app.Config inside the appSettings segment in the client utility.

Question 36. Are There Any Changes For Customers Who Are Using The Existing Azure Table Storage Sdks?

Answer :

None. There are not any modifications for present or new clients who are the use of the existing Azure Table storage SDKs.

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Question 37. Which Tools Work With The Table Api?

Answer :

You can use the Azure Storage Explorer.

Tools with the flexibility to take a connection string inside the format detailed previously can guide the new Table API. A list of table tools is furnished on the Azure Storage Client Tools web page.

Question 38. Do Power Shell Or Azure Cli Work With The Table Api?

Answer :

There is assist for Power Shell. Azure CLI assist isn't always currently to be had.

Question 39. Is The Concurrency On Operations Controlled?

Answer :

Yes, constructive concurrency is provided via the use of the ETag mechanism.

Question 40. Is The Odata Query Model Supported For Entities?

Answer :

Yes, the Table API helps OData question and LINQ question.

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Question 41. Can I Connect To Azure Table Storage And Azure Cosmos Db Table Api Side By Side In The Same Application?

Answer :

Yes, you can join through developing two separate times of the CloudTableClient, every pointing to its personal URI via the relationship string.

Question forty two. How Do I Migrate An Existing Azure Table Storage Application To This Offering?

Answer :

AzCopy and the Azure Cosmos DB Data Migration Tool are both supported.

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Question forty three. How Is Expansion Of The Storage Size Done For This Service If, For Example, I Start With N Gb Of Data And My Data Will Grow To 1 Tb Over Time?

Answer :

Azure Cosmos DB is designed to provide limitless garage via the usage of horizontal scaling. The carrier can screen and correctly growth your storage.

Question forty four. How Do I Monitor The Table Api Offering?

Answer :

You can use the Table API Metrics pane to monitor requests and storage utilization.

Question 45. How Do I Calculate The Throughput I Require?

Answer :

You can use the capability estimator to calculate the Table Throughput that is required for the operations. For more facts, see Estimate Request Units and Data Storage. In general, you can represent your entity as JSON and offer the numbers on your operations.

Question forty six. Can I Use The Table Api Sdk Locally With The Emulator?

Answer :

Not presently.

Question 47. Can My Existing Application Work With The Table Api?

Answer :

Yes, the same API is supported.

Question 48. Do I Need To Migrate My Existing Azure Table Storage Applications To The Sdk If I Do Not Want To Use The Table Api Features?

Answer :

No, you could create and use present Azure Table garage belongings without interruption of any kind. However, in case you do now not use the Table API, you can't benefit from the computerized index, the extra consistency alternative, or international distribution.

Question 49. How Do I Add Replication Of The Data In The Table Api Across Multiple Regions Of Azure?

Answer :

You can use the Azure Cosmos DB portal’s international replication settings to add regions which can be suitable to your software. To develop a globally disbursed software, you have to additionally add your utility with the Preferred Location information set to the neighborhood place for presenting low read latency.

Question 50. How Do I Change The Primary Write Region For The Account In The Table Api?

Answer :

You can use the Azure Cosmos DB international replication portal pane to feature a place after which fail over to the specified vicinity. For commands, see Developing with multi-location Azure Cosmos DB money owed.

Question fifty one. How Do I Configure My Preferred Read Regions For Low Latency When I Distribute My Data?

Answer :

To assist study from the neighborhood place, use the Preferred Location key in the app.Config record. For existing applications, the Table API throws an blunders if Location Mode is about. Remove that code, because the Table API choices up this records from the app.Config record.

Question fifty two. How Should I Think About Consistency Levels In The Table Api?

Answer :

Azure Cosmos DB gives properly-reasoned alternate-offs between consistency, availability, and latency. Azure Cosmos DB gives 5 consistency stages to Table API developers, so you can select the proper consistency model at the desk stage and make person requests at the same time as querying the statistics. When a patron connects, it can specify a consistency degree. You can trade the extent thru the consistency Level argument of CreateCloudTableClient.

The Table API affords low-latency reads with "Read your own writes," with Bounded-staleness consistency because the default.

By default, Azure Table garage affords Strong consistency inside a vicinity and Eventual consistency in the secondary places.

Question 53. Does Azure Cosmos Db Table Api Offer More Consistency Levels Than Azure Table Storage?

Answer :

Yes, for information approximately how to benefit from the allotted nature of Azure Cosmos DB, see Consistency levels. Because ensures are provided for the consistency degrees, you can use them with confidence.

Question 54. When Global Distribution Is Enabled, How Long Does It Take To Replicate The Data?

Answer :

Azure Cosmos DB commits the statistics durably within the neighborhood area and pushes the data to different regions right away in a be counted of milliseconds. This replication is dependent handiest at the spherical-experience time (RTT) of the datacenter. 

Question fifty five. Can The Read Request Consistency Level Be Changed?

Answer :

With Azure Cosmos DB, you may set the consistency degree at the box degree (at the table). By the use of the .NET SDK, you could exchange the level by supplying the price for Table ConsistencyLevel key inside the app.Config document. The feasible values are: Strong, Bounded Staleness, Session, Consistent Prefix, and Eventual. For more records, see Tunable statistics consistency tiers in Azure Cosmos DB. The key concept is which you can not set the request consistency degree at extra than the placing for the table. For example, you can not set the consistency level for the table at Eventual and the request consistency degree at Strong.

Question fifty six. How Does The Table Api Handle Failover If A Region Goes Down?

Answer :

The Table API leverages the globally distributed platform of Azure Cosmos DB. To make sure that your software can tolerate datacenter downtime, enable as a minimum one greater region for the account within the Azure Cosmos DB portal Developing with multi-place Azure Cosmos DB debts. You can set the priority of the location through using the portal growing with multi-place Azure Cosmos DB bills.

You can add as many areas as you need for the account and control where it could fail over to via offering a failover precedence. Of direction, to apply the database, you want to provide an utility there too. When you accomplish that, your clients will now not revel in downtime. The modern day .NET consumer SDK is automobile homing however the other SDKs are not. That is, it is able to detect the region that's down and robotically fail over to the brand new place.

Question fifty seven. Is The Table Api Enabled For Backups?

Answer :

Yes, the Table API leverages the platform of Azure Cosmos DB for backups. Backups are made mechanically.

Question fifty eight. Does The Table Api Index All Attributes Of An Entity By Default?

Answer :

Yes, all attributes of an entity are indexed by using default. 

Question 59. Does This Mean I Do Not Have To Create Multiple Indexes To Satisfy The Queries?

Answer :

Yes, Azure Cosmos DB Table API presents computerized indexing of all attributes without any schema definition. This automation frees developers to attention at the software instead of on index creation and control.

Question 60. Can I Change The Indexing Policy?

Answer :

Yes, you could exchange the indexing coverage by using supplying the index definition. For extra data, see Azure Cosmos DB capabilities. You need to properly encode and escape the settings.

For the non-.NET SDKs the indexing coverage can simplest be set inside the portal at Data Explorer, navigate to the unique desk you want to exchange and then visit the Scale & Settings->Indexing Policy, make the preferred trade after which Save.

From the .NET SDK it could be submitted inside the app.Config report:

Copy

  "indexing Mode": "consistent",

  "computerized": genuine,

  "blanketed Paths": [

    

      "course": "/some course",

      "indexes": [

        

          "kind": "Range",

          "datatype": "Number",

          "precision": -1

        ,

        

          "kind": "Range",

          "datatype": "String",

          "precision": -1

         

      ]

    

  ],

  "excludedPaths": 

[

 

      "path": "/anotherpath"

 

]

Question 61. Azure Cosmos Db As A Platform Seems To Have Lot Of Capabilities, Such As Sorting, Aggregates, Hierarchy, And Other Functionality. Will You Be Adding These Capabilities To The Table Api?

Answer :

The Table API affords the equal query functionality as Azure Table garage. Azure Cosmos DB also helps sorting, aggregates, geospatial query, hierarchy, and a huge variety of integrated features. We will offer extra capability inside the Table API in a future service replace. 

Question sixty two. When Should I Change Table Throughput For The Table Api?

Answer :

You ought to trade Table Throughput whilst either of the following conditions applies:

You're performing an extract, transform, and load (ETL) of information, or you want to upload a number of statistics in brief amount of time.
You want more throughput from the field on the returned cease. For instance, you notice that the used throughput is greater than the provisioned throughput, and you have become throttled. 
Question 63. Can I Scale Up Or Scale Down The Throughput Of My Table Api Table?

Answer :

Yes, you may use the Azure Cosmos DB portal’s scale pane to scale the throughput. 

Question sixty four. Is A Default Table Throughput Set For Newly Provisioned Tables?

Answer :

Yes, in case you do not override the Table Throughput thru app.Config and do not use a pre-created container in Azure Cosmos DB, the service creates a table with throughput of 400.

Question sixty five. Is There Any Change Of Pricing For Existing Customers Of The Azure Table Storage Service?

Answer :

None. There isn't any trade in fee for existing Azure Table garage clients.

Question 66. How Is The Price Calculated For The Table Api?

Answer :

The fee depends at the allocated Table Throughput.

Question 67. How Do I Handle Any Throttling On The Tables In Table Api Offering?

Answer :

If the request charge exceeds the potential of the provisioned throughput for the underlying container, you get an mistakes, and the SDK retries the call via applying the retry coverage.

Question sixty eight. Why Do I Need To Choose A Throughput Apart From Partition Key And Rowkey To Take Advantage Of The Table Api Offering Of Azure Cosmos Db?

Answer :

Azure Cosmos DB units a default throughput for your field if you do no longer provide one inside the app.Config file or through the portal.

Azure Cosmos DB affords guarantees for performance and latency, with higher bounds on operation. This guarantee is possible whilst the engine can implement governance on the tenant's operations. Setting Table Throughput ensures which you get the guaranteed throughput and latency, due to the fact the platform reserves this capacity and ensures operational achievement.

By the usage of the throughput specification, you can elastically exchange it to benefit from the seasonality of your application, meet the throughput needs, and store expenses.

Question sixty nine. Azure Table Storage Has Been Very Inexpensive For Me, Because I Pay Only To Store The Data, And I Rarely Query. The Azure Cosmos Db Table Api Offering Seems To Be Charging Me Even Though I Have Not Performed A Single Transaction Or Stored Anything. Can You Please Explain?

Answer :

Azure Cosmos DB is designed to be a globally distributed, SLA-based totally machine with guarantees for availability, latency, and throughput. When you reserve throughput in Azure Cosmos DB, it's miles guaranteed, unlike the throughput of other structures. Azure Cosmos DB offers additional abilties that customers have requested, inclusive of secondary indexes and international distribution.

Question 70. I Never Get A “quota Full" Notification (indicating That A Partition Is Full) When I Ingest Data Into Azure Table Storage. With The Table Api, I Do Get This Message. Is This Offering Limiting Me And Forcing Me To Change My Existing Application?

Answer :

Azure Cosmos DB is an SLA-based device that gives unlimited scale, with ensures for latency, throughput, availability, and consistency. To make certain assured top rate performance, make certain that your information length and index are possible and scalable. The 10-GB restriction at the number of entities or gadgets in line with partition key's to make certain that we provide terrific research and question performance. To ensure that your utility scales nicely, even for Azure Storage, we recommend that you no longer create a hot partition by means of storing all data in one partition and querying it.

Question seventy one. So Partition Key And Rowkey Are Still Required With The Table Api?

Answer :

Yes. Because the floor area of the Table API is much like that of the Azure Table storage SDK, the partition key offers an efficient manner to distribute the information. The row key's particular within that partition. The row key desires to be gift and can't be null as inside the general SDK. The period of RowKey is 255 bytes and the length of Partition Key is 1 KB.

Question 72. What Are The Error Messages For The Table Api?

Answer :

Azure Table garage and Azure Cosmos DB Table API use the equal SDKs so maximum of the errors may be the same.

Question 73. Why Do I Get Throttled When I Try To Create Lot Of Tables One After Another In The Table Api?

Answer :

Azure Cosmos DB is an SLA-based totally machine that gives latency, throughput, availability, and consistency ensures. Because it's far a provisioned device, it reserves resources to assure these necessities. The speedy rate of advent of tables is detected and throttled. We suggest that you study the rate of advent of tables and lower it to much less than five in step with minute.Remember that the Table API is a provisioned device. The moment you provision it, you will begin to pay for it.

Question seventy four. How Can I Apply The Functionality Of Graph Api (preview) To Azure Cosmos Db?

Answer :

You can use an extension library to use the capability of Graph API (Preview). This library is called Microsoft Azure Graphs, and it is to be had on NuGet.

Question 75. It Looks Like You Support The Gremlin Graph Traversal Language. Do You Plan To Add More Forms Of Query?

Answer :

Yes, we plan to feature different mechanisms for question within the destiny.

Question 76. How Can I Use The New Graph Api (preview) Offering?

Answer :

To get started out, complete the Graph API brief-start article.

Question seventy seven. Why Is Choosing A Throughput For A Table A Requirement?

Answer :

Azure Cosmos DB sets default throughput on your field primarily based on where you create the desk from - portal or CQL. Azure Cosmos DB provides guarantees for performance and latency, with upper bounds on operation. This guarantee is viable when the engine can put into effect governance on the tenant's operations. Setting throughput guarantees that you get the guaranteed throughput and latency, due to the fact the platform reserves this ability and ensures operation achievement. You can elastically alternate throughput to enjoy the seasonality of your utility and store costs.

Question seventy eight. What Happens When Throughput Is Exceeded?

Answer :

Azure Cosmos DB affords ensures for performance and latency, with higher bounds on operation. This assure is viable when the engine can implement governance on the tenant's operations. This is feasible based totally on placing the throughput, which ensures that you get the assured throughput and latency, because platform reserves this capability and guarantees operation achievement. When you exceed this ability you get overloaded error message indicating your potential turned into handed. 0x1001 Overloaded: the request can not be processed due to the fact "Request Rate is huge". At this juncture it is vital to peer what operations and their extent causes this issue. You can get an concept approximately ate up capability exceeding the provisioned capacity with metrics at the portal. Then you want to ensure ability is fed on nearly equally across all underlying walls. If you spot maximum of the throughput is fed on via one partition, you've got skew of workload.

Metrics are to be had that show you ways throughput is used over hours, days, and in line with seven days, across partitions or in mixture.

Question seventy nine. Does The Primary Key Map To The Partition Key Concept Of Azure Cosmos Db?

Answer :

Yes, the partition secret's used to region the entity in right place. In Azure Cosmos DB it's miles used to locate right logical partition that is saved on a bodily partition. The partitioning concept is nicely explained in the Partition and scale in Azure Cosmos DB article. The essential remove here is that a logical partition should now not exceed the 10 GB restriction these days.

Question eighty. What Happens When I Get A “quota Full" Notification Indicating That A Partition Is Full?

Answer :

Azure Cosmos DB is a SLA-based machine that gives limitless scale, with guarantees for latency, throughput, availability, and consistency. It's Cassandra API too lets in unlimited garage of statistics. This unlimited storage is based on horizontal scaleout of statistics the usage of partitioning as the key idea. The partitioning concept is well defined within the Partition and scale in Azure Cosmos DB article.

The 10-GB restrict at the variety of entities or items consistent with logical partition you need to adhere to. To make certain that your utility scales well, we endorse which you not create a warm partition by storing all statistics in a single partition and querying it. This error can best come if you statistics is skewed - that is you've got lot of information for one partition key - i.E., more than 10 GB. You can locate the distribution of statistics the usage of the garage portal. Way to restore this mistake is to recreate the table and choose a granular number one (partition key), which lets in better distribution of statistics.

Question 81. Is It Possible To Use Cassandra Api As Key Value Store With Millions Or Billions Of Individual Partition Keys?

Answer :

Azure Cosmos DB can save unlimited statistics via scaling out the storage. This is independent of the throughput. Yes you can constantly simply use Cassandra API to store and retrieve key/values by means of specifying proper number one/partition key. These character keys get their very own logical partition and take a seat atop bodily partition with out issues.

Question 82. Is It Possible To Create Multiple Tables With Apache Cassandra Api Of Azure Cosmos Db?

Answer :

Yes, it is feasible to Crete multiple tables with Apache Cassandra API. Each of those tables is handled as unit for throughput and storage.

Question 83. Is It Possible To Create Multiple Tables In Succession?

Answer :

Azure Cosmos DB is resource ruled machine for both records and manipulate aircraft activities. Containers like collections, tables are runtime entities which are provisioned for given throughput ability. The introduction of those boxes in short succession is not anticipated interest and throttled. If you have got assessments which drop/create tables at once - please try to area them out.

Question 84. Is It Possible To Bring In Lot Of Data After Starting From Normal Table?

Answer :

The garage capability is mechanically controlled and will increase as you push in more statistics. So you may expectantly import as a whole lot information as you need with out dealing with and provisioning nodes, and so on.

Question 85. Is It Possible To Supply Yaml File Settings To Configure Apache Casssandra Api Of Azure Cosmos Db Behavior?

Answer :

Apache Cassandra API of Azure Cosmos DB is a platform provider. It affords protocol level compatibilty for executing operations. It hides away the complexity of control, monitoring and configuration. As a developer/person you do now not want to worry about availability, tombstones, key cache, row cache, bloom filter out and multitude of other settings. Azure Cosmos DB's Apache Cassandra API makes a speciality of providing read and write performance which you require without the overhead of configuration and control.

Question 86. Will Apache Cassandra Api For Azure Cosmos Db Support Node Addition/cluster Status/node Status Commands?

Answer :

Apache Cassandra API is a platform service which makes potential planning, responding to the pliability needs for throughput & storage a breeze. With Azure Cosmos DB you provision throughput you need. Then you could scale it up and down any variety of instances through the day without disturbing approximately adding/deleting nodes or handling them. This implies you do not want to apply the node, cluster control tool too.

Question 87. What Happens With Respect To Various Config Settings For Key Space Creation Like Simple/network?

Answer :

Azure Cosmos DB offers global distribution out of the box for availability and coffee latency reasons. You do no longer need to setup replicas and so on. All writes are continually durably quorum dedicated in a any vicinity in which you write at the same time as providing overall performance guarantees.

Question 88. What Happens With Respect To Various Settings For Table Metadata Like Bloom Filter, Caching, Read Repair Change, Gc_grace, Compression Memtable_flush_period Etc?

Answer :

Azure Cosmos DB gives performance for reads/writes and throughput without need for touching any of the configuration settings and accidently manipulating them.

Question 89. Is Time-to-live (ttl) Supported For Cassandra Tables?

Answer :

Yes, TTL is supported.

Question 90. Is It Possible To Monitor Node Status, Replica Status, Gc, And Os Parameters Earlier With Various Tools? What Needs To Be Monitored Now?

Answer :

Azure Cosmos DB is a platform carrier that helps you boom productivity and not fear about handling and monitoring infrastructure. You simply want to take care of throughput that is to be had on portal metrics to find if you have become throttled and boom or lower that throughput. Monitor SLAs. Use Metrics Use Diagnostic logs.

Question ninety one. Is Composite Partition Key Supported?

Answer :

Yes, you could use ordinary syntax to create composite partition key.

Question ninety two. Can I Use Stable Loader For Data Loading?

Answer :

No, throughout preview sstable loader isn't supported.

Question 93. Does Cassandra Api Provide Full Backups?

Answer :

Azure Cosmos DB offers  free complete backups taken at 4 hours interval these days throughout all APIs. This ensures you do no longer need to setup a backup time table and so forth. If you want to modify retention and frequency, send an e mail to askcosmosdbcassandra@microsoft.Com or enhance a support case. Information about backup capability is supplied within the Automatic on-line backup and repair with Azure Cosmos DB article.

Question 94. How Does The Cassandra Api Account Handle Failover If A Region Goes Down?

Answer :

The Azure Cosmos DB Cassandra API borrows from the globally disbursed platform of Azure Cosmos DB. To make certain that your utility can tolerate datacenter downtime, allow as a minimum one more vicinity for the account within the Azure Cosmos DB portal developing with multi-location Azure Cosmos DB money owed. You can set the concern of the area by means of using the portal growing with multi-area Azure Cosmos DB accounts.

You can add as many areas as you want for the account and control in which it is able to fail over to by using providing a failover precedence. To use the database, you want to provide an application there too. When you achieve this, your customers will now not experience downtime.

Question ninety five. Does The Apache Cassandra Api Index All Attributes Of An Entity By Default?

Answer :

Yes, all attributes of an entity are indexed with the aid of default via Azure Cosmos DB. 

Question 96. Azure Cosmos Db As A Platform Seems To Have Lot Of Capabilities, Such As Change Feed And Other Functionality. Will These Capabilities Be Added To The Cassandra Api?

Answer :

The Apache Cassandra API affords the identical CQL capability as Apache Cassandra. We do plan to inspect feasibility of helping numerous abilties in future.

Question ninety seven. Why Are You Moving To Azure Cosmos Db?

Answer :

Azure Cosmos DB is the next large soar in globally allotted, at-scale cloud databases. As a DocumentDB purchaser, you now have get admission to to the breakthrough machine and abilities offered via Azure Cosmos DB.
Azure Cosmos DB started as “Project Florence” in 2010 to address the pain points faced by means of builders in constructing big-scale programs internal Microsoft. The demanding situations of constructing globally allotted apps aren't particular to Microsoft, so we made the first generation of this era to be had in 2015 to Azure builders within the shape of Azure DocumentDB.
Since that point, we’ve delivered new features and brought good sized new skills. Azure Cosmos DB is the end result. As a part of this launch, DocumentDB clients, with their records, robotically and seamlessly end up Azure Cosmos DB customers. These competencies are within the regions of the center database engine, in addition to worldwide distribution, elastic scalability, and industry-main, complete SLAs. Specifically, we've got developed the Azure Cosmos DB database engine to efficaciously map all famous statistics fashions, kind structures, and APIs to the underlying data version of Azure Cosmos DB.
The contemporary developer-facing manifestation of this paintings is the new support for Gremlin and Table garage APIs. And this is just the start. We plan to add different popular APIs and newer facts models over time, with extra advances in overall performance and storage at international scale.
It is essential to factor out that the DocumentDB SQL dialect has always been just one of the many APIs that the underlying Azure Cosmos DB can help. For developers who use a totally controlled carrier inclusive of Azure Cosmos DB, the handiest interface to the carrier is the APIs which are uncovered by way of the carrier. Nothing virtually changes for existing DocumentDB clients. In Azure Cosmos DB, you get exactly the same SQL API that DocumentDB gives. And now (and inside the future), you can get admission to different previously inaccessible competencies
Another manifestation of our continued work is the extended foundation for international and elastic scalability of throughput and garage. We have made several foundational upgrades to the worldwide distribution subsystem. One of the various such developer-facing features is the Consistent Prefix consistency version, which makes a complete five well-described consistency models. We will launch many more interesting competencies as they mature.
Question 98. What Do I Need To Do To Ensure That My Documentdb Resources Continue To Run On Azure Cosmos Db?

Answer :

You do not want to make any changes all. Your DocumentDB sources are now Azure Cosmos DB assets, and there has been no interruption inside the provider whilst this pass occurred.

Question 99. What Changes Do I Need To Make For My App To Work With Azure Cosmos Db?

Answer :

There aren't any adjustments to make. Classes, namespaces, and NuGet bundle names have now not modified. As continually, we propose which you keep your SDKs up to date to take gain of the latest functions and improvements.

Question 100. Are There Changes To Pricing?

Answer :

No, the price of going for walks your app on Azure Cosmos DB is the same as it became earlier than.




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