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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q50-Q55):

NEW QUESTION # 50
You plan to create an Azure Cosmos DB for NoSQL container that will contain items in the following format.

You need to define a query that will return the userid values of all the users who purchased an item that has a sku value of 11111. How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 51
You have an Azure Cosmos DB Core (SQL) account that has a single write region in West Europe.
database named db

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Yes
The Automatic failover option allows Azure Cosmos DB to failover to the region with the highest failover priority with no user action should a region become unavailable.
Box 2: No
West Europe is used for failover. Only North Europe is writable.
To Configure multi-region set UseMultipleWriteLocations to true.
Box 3: Yes
Provisioned throughput with single write region costs $0.008/hour per 100 RU/s and provisioned throughput with multiple writable regions costs $0.016/per hour per 100 RU/s.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-multi-master
https://docs.microsoft.com/en-us/azure/cosmos-db/optimize-cost-regions


NEW QUESTION # 52
You have an Apache Spark pool in Azure Synapse Analytics that runs the following Python code in a notebook.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to "append", which means that new and updated orders will be added to the destination container1.
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. Stream processing is a process of continuously processing data as it arrives in real-time2.
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers have Analytics store enabled, which is a feature that allows Spark pools to query data stored in Azure Cosmos DB containers using SQL APIs3.


NEW QUESTION # 53
You have a container named container1 in an Azure Cosmos DB for NoSQL account.
You need to provide a user named User1 with the ability to insert items into container1 by using role- based access control (RBAC). The solution must use the principle of least privilege.
Which roles should you assign to User1?

Answer: D

Explanation:
https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-setup-rbac


NEW QUESTION # 54
You have an Azure Cosmos DB for NoSQL account.
You plan 10 create a container named container1. The container1 container will store items that include two properties named nm and age The most commonly executed queries will query container1 for a specific name. The following is a sample of the query.

You need to define an opt-in Indexing policy for container1. The solution must meet the following requirements:
* Minimize the number of request units consumed by the queries.
* Ensure that the _etag property is excluded from indexing.
How should you define the indexing poky? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection Is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 55
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