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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Design and implement data models35-40%- Implement connectivity and data access
  • 1. Use SDKs to connect and operate
  • 2. Write efficient SQL queries
- Plan sizing and scaling
  • 1. Select consistency levels
  • 2. Provision throughput and storage
- Design partitioning strategy
  • 1. Plan for distribution and throughput
  • 2. Choose partition key based on workload
- Design and implement non-relational data models
  • 1. Configure time-to-live (TTL)
  • 2. Identify data and access patterns
  • 3. Store multiple entity types in one container
  • 4. Define primary and unique keys
  • 5. Denormalize data across documents
  • 6. Embed related entities in documents
  • 7. Reference between documents
Design and implement data distribution5-10%- Design replication strategy
  • 1. Implement multi-region write
  • 2. Configure multi-region replication
- Manage data distribution and failover
  • 1. Define failover priorities
  • 2. Manage regional availability
Optimize an Azure Cosmos DB solution15-20%- Work with change feed
  • 1. Trigger downstream workflows
  • 2. Process changes incrementally
- Define and implement indexing strategy
  • 1. Exclude or include properties
  • 2. Select index types and paths
- Optimize query performance
  • 1. Optimize throughput allocation
  • 2. Tune query structure and syntax
Maintain an Azure Cosmos DB solution25-30%- DevOps and automation
  • 1. Deploy via ARM, Bicep, CLI
  • 2. Automate operations
- Manage data movement
  • 1. Migrate between APIs or regions
  • 2. Import/export data
- Implement security
  • 1. Manage authentication and authorization
  • 2. Encrypt data at rest and in transit
- Monitor and troubleshoot
  • 1. Use Azure Monitor and Application Insights
  • 2. Analyze metrics and logs
- Implement backup and restore
  • 1. Perform point-in-time restore
  • 2. Configure periodic backup
Integrate an Azure Cosmos DB solution5-10%- Integrate with Azure services
  • 1. Use with Azure Functions, Logic Apps, Event Hubs
  • 2. Connect to Azure Stream Analytics
- Enable analytical workloads
  • 1. Use Synapse Link
  • 2. Configure analytical store

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q67-Q72):

NEW QUESTION # 67
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.


NEW QUESTION # 68
Container2 is a container in an Azure Cosmos DB Core (SQL) API account where Upserts of items happen every three seconds.
You are having an Azure Functions application named function2 that is expected to run whenever the items are replaced or inserted in container2.
You notice that function2 runs, but not on each upsert.
You need to make sure that each upsert is processed by function2 within 1 second of the upsert.
Which of the following property should you modify in the Function.json file of function2?

Answer: A

Explanation:
Upsert operation is an operation where a row is inserted into a database table if it does not already exist, or updated if it exists. FeedPollDelay represents the delay time (in ms) between the poll of a partition for new updates upon the feed after all current modifications are drained. The default value for this is 5000 ms i.e. 5 seconds.
Therefore, if you want that each upsert is processed by finction2 within 1 second of the upsert, you need to change the FeedPollDelay.
Option A is incorrect. MaxItemsPerInvocation is used to set the maximum items received for each Function call.
Option B is correct. There is a need to change the FeedPollDelay property.
Option C is incorrect. Checkpointinterval defines the interval between lease checkpoints. The Default is always after each Function call.
Option D is incorrect. leaseCollectionsThroughput is not the right property to change.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb-v2-trigger


NEW QUESTION # 69
You work in the Intel company that has its clients across 4 different countries, with hundreds of thousands of clients for countries 1 and 2, and a few thousand clients for countries 3 and 4.
Requests for every country total approximately 50,000 RU/s every hour of the day. The application team of the company suggests using countryId as the partition key for this container.
Which of the following statements is true?

Answer: A

Explanation:
In the given scenario, countries 1 and 2 have hundreds of thousands of clients. Storage hot partitions are likely for countries 1 or 2 since they would have to bulk of the data stored.
Option A is incorrect. The suggested partition will prevent fan out as we will be always going through one partition per countryId.
Option B is correct. Storage hot partitions are likely for countries 1 or 2 since they would have the bulk of the data stored.
Option C is incorrect. There is still a possibility of throughput hot partitions.
Option D is incorrect. This partition key could cause storage hot partitions.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/partitioning-overview


NEW QUESTION # 70
You have an Azure Cosmos DB Core (SQL) API account that is used by 10 web apps.
You need to analyze the data stored in the account by using Apache Spark to create machine learning models. The solution must NOT affect the performance of the web apps.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: B,D

Explanation:
Reference:
https://github.com/microsoft/MCW-Cosmos-DB-Real-Time-Advanced-Analytics/blob/main/Hands-on%20lab/HOL%20step-by%20step%20-%20Cosmos%20DB%20real-time%20advanced%20analytics.md


NEW QUESTION # 71
You have a database in an Azure Cosmos DB SQL API Core (SQL) account that is used for development.
The database is modified once per day in a batch process.
You need to ensure that you can restore the database if the last batch process fails. The solution must minimize costs.
How should you configure the backup settings? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 72
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