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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q40-Q45):

NEW QUESTION # 40
Hotspot Question
You have two Azure Cosmos for NoSQL containers named Container1 and Container2.
You plan to process the change feed for each container by using the following:
- Container1: Pull model
- Container2: Change feed processor
You need to track the current processing point for each change feed.
What should you use for each container? To answer, select the appropriate options in the answer area.

Answer:

Explanation:


NEW QUESTION # 41
You have an Azure Cosmos DB for NoSQL container named Contacts that is configured as shown in the following exhibit.

Contacts contains the items shown in the following table.

To Contacts, you plan to insert the items shown in the following table.

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 QUESTION # 42
You have an Azure Cosmos DB Core (SQL) API account named storage1 that uses provisioned throughput capacity mode.
The storage1 account contains the databases shown in the following table.

The databases contain the containers shown in the following table.

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: No
Four containers with 1000 RU/s each.
Box 2: No
Max 8000 RU/s for db2. 8 containers, so 1000 RU/s for each container.
Box 3: Yes
Max 8000 RU/s for db2. 8 containers, so 1000 RU/s for each container. Can very well add an additional container.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/plan-manage-costs
https://azure.microsoft.com/en-us/pricing/details/cosmos-db/


NEW QUESTION # 43
Hotspot Question
You have a database named db1 in an Azure Cosmos DB for NoSQL account named account1.
The db1 database has a manual throughput of 4,000 request units per second (RU/s).
You need to move db1 from manual throughput to autoscale throughput by using the Azure CLI.
The solution must provide a minimum of 4,000 RU/s and a maximum of 40,000 RU/s.
How should you complete the CLI statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: migrate
The az cosmosdb sql database throughput migrate command migrates the throughput of the SQL database between autoscale and manually provisioned.
Syntax: az cosmosdb sql database throughput migrate
--account-name
--name
--resource-group
--throughput-type {autoscale, manual}
Box 2: update
The az cosmosdb sql database throughput update command updates the throughput of the SQL database under an Azure Cosmos DB account.
Syntax: az cosmosdb sql database throughput update
--account-name
--name
--resource-group
[--max-throughput]
[--throughput]
Box 3: 4000
Specify the throughput.
Parameter --throughput -
The throughput of SQL database (RU/s).
Note: Example migration from standard (manual) provisioned throughput to autoscale: Suppose you have a container with 10,000 RU/s manual provisioned throughput, and 25 GB of storage.
When you enable autoscale, the initial autoscale max RU/s will be: 10,000 RU/s, which will scale between 1000 - 10,000 RU/s.
Note 2: Parameter --max-throughput
The maximum throughput resource can scale to (RU/s). Provided when the resource is autoscale enabled. The minimum value can be 4000 (RU/s).
Reference:
https://docs.microsoft.com/en-us/cli/azure/cosmosdb/sql/database/throughput


NEW QUESTION # 44
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:


NEW QUESTION # 45
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