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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
Topic 2: Design and implement data models35-40%- Implement connectivity and data access
  • 1. Write efficient SQL queries
  • 2. Use SDKs to connect and operate
- Design partitioning strategy
  • 1. Plan for distribution and throughput
  • 2. Choose partition key based on workload
- Plan sizing and scaling
  • 1. Provision throughput and storage
  • 2. Select consistency levels
- Design and implement non-relational data models
  • 1. Identify data and access patterns
  • 2. Denormalize data across documents
  • 3. Reference between documents
  • 4. Define primary and unique keys
  • 5. Store multiple entity types in one container
  • 6. Embed related entities in documents
  • 7. Configure time-to-live (TTL)
Topic 3: 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. Define failover priorities
  • 2. Manage regional availability
Topic 4: 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. Exclude or include properties
  • 2. Select index types and paths
Topic 5: Maintain an Azure Cosmos DB solution25-30%- 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
- Manage data movement
  • 1. Migrate between APIs or regions
  • 2. Import/export data
- DevOps and automation
  • 1. Automate operations
  • 2. Deploy via ARM, Bicep, CLI
- Monitor and troubleshoot
  • 1. Analyze metrics and logs
  • 2. Use Azure Monitor and Application Insights

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q72-Q77):

NEW QUESTION # 72
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
The following is a sample of a document in container1.
{
"studentId": "631282",
"firstName": "James",
"lastName": "Smith",
"enrollmentYear": 1990,
"isActivelyEnrolled": true,
"address": {
"street": "",
"city": "",
"stateProvince": "",
"postal": "",
}
}
The container1 container has the following indexing policy.
{
"indexingMode": "consistent",
"includePaths": [
{
"path": "/*"
},
{
"path": "/address/city/?"
}
],
"excludePaths": [
{
"path": "/address/*"
},
{
"path": "/firstName/?"
}
]
}
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 # 73
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 # 74
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL database named DB1. The shared throughput provisioned for DB1 is 10,000 DTU/s. DB1 contains the containers shown in the following table.

You need to modify the throughput for the containers. The solution must meet the following requirements:
* The maximum throughput for Container1 must be 4,000 DTU/s.
* The throughput for Contained must be shared across the containers.
* Administrative effort must be minimized.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 75
You are implementing an Azure Data Factory data flow that will use an Azure Cosmos DB (SQL API) sink to write a dataset. The data flow will use 2,000 Apache Spark partitions.
You need to ensure that the ingestion from each Spark partition is balanced to optimize throughput.
Which sink setting should you configure?

Answer: D

Explanation:
Batch size: An integer that represents how many objects are being written to Cosmos DB collection in each batch. Usually, starting with the default batch size is sufficient. To further tune this value, note:
Cosmos DB limits single request's size to 2MB. The formula is "Request Size = Single Document Size * Batch Size". If you hit error saying "Request size is too large", reduce the batch size value.
The larger the batch size, the better throughput the service can achieve, while make sure you allocate enough RUs to empower your workload.
Incorrect Answers:
A: Throughput: Set an optional value for the number of RUs you'd like to apply to your CosmosDB collection for each execution of this data flow. Minimum is 400.
B: Write throughput budget: An integer that represents the RUs you want to allocate for this Data Flow write operation, out of the total throughput allocated to the collection.
D: Collection action: Determines whether to recreate the destination collection prior to writing.
None: No action will be done to the collection.
Recreate: The collection will get dropped and recreated


NEW QUESTION # 76
You have an Azure Cosmos DB for NoSQL database named db1.
You run the following code:

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 # 77
......

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