Simulations DP-420 Pdf, DP-420 Exam Quiz

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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Optimize an Azure Cosmos DB solution15-20%- Optimize query performance
  • 1. Retrieve request unit cost
  • 2. Calculate query cost
  • 3. Implement integrated cache
  • 4. Adjust indexing policies
- Define and implement indexing strategy
  • 1. Choose appropriate index types
  • 2. Configure custom indexing policies
  • 3. Choose read-heavy or write-heavy indexing
  • 4. Implement composite indexes
  • 5. Optimize index performance
- Design and implement change feeds
  • 1. Manage change feed instances
  • 2. Implement aggregation persistence
  • 3. Develop Azure Functions triggers
  • 4. Consume change feeds using SDK
Topic 2: Design and implement data models35-40%- Implement server-side programming
  • 1. Write and deploy stored procedures
  • 2. Implement triggers
  • 3. Implement user-defined functions
- Implement client connectivity options
  • 1. Configure client-side threading and logging
  • 2. Choose gateway or direct connectivity mode
  • 3. Handle connection errors
  • 4. Implement singleton client
  • 5. Use Azure Cosmos DB emulator
  • 6. Create database connections
- Plan and implement sizing and scaling
  • 1. Choose between serverless, provisioned, and free tier
  • 2. Design resource governance and scaling
  • 3. Evaluate throughput and storage requirements
  • 4. Evaluate global distribution costs
  • 5. Configure throughput
- Implement data access
  • 1. Use SDKs for CRUD operations
  • 2. Implement patch operations
  • 3. Use consistency and query request options
  • 4. Manage transactional batch operations
  • 5. Implement optimistic concurrency control
  • 6. Implement SQL queries with arrays and aggregation
- Design a data partitioning strategy
  • 1. Implement synthetic partition keys
  • 2. Evaluate throughput and data distribution
  • 3. Plan for transactions with partition keys
  • 4. Evaluate cross-partition query cost
  • 5. Choose a partitioning strategy
  • 6. Choose a partition key
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Identify data and associated access patterns
  • 2. Denormalize data across documents
  • 3. Store multiple entity types in the same container
  • 4. Reference between documents
  • 5. Store multiple related entities in the same document
  • 6. Identify partition key, id, and unique keys
Topic 3: Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Configure Azure Cosmos DB Mirroring
  • 2. Write data back from Spark
  • 3. Query analytical store from Synapse
  • 4. Enable analytical store
- Implement solutions across services
  • 1. Use Change Feed for denormalization
  • 2. Aggregate and archive data
  • 3. Enforce referential integrity
  • 4. Integrate Azure Functions and Event Hubs
  • 5. Implement Azure AI Search integration
Topic 4: Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Monitor metrics and logs
  • 2. Implement backup and recovery strategies
  • 3. Monitor performance and availability
  • 4. Troubleshoot throughput issues
Topic 5: Design and implement data distribution5-10%- Design and implement replication strategy
  • 1. Choose a consistency model
  • 2. Evaluate consistency model impacts
  • 3. Define automatic failover policies
  • 4. Choose when to distribute data
  • 5. Perform manual failovers
- Design and implement multi-region writes
  • 1. Implement multi-region writes
  • 2. Implement conflict resolution policies
  • 3. Choose when to use multi-region writes

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q39-Q44):

NEW QUESTION # 39
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 # 40
Hotspot Question
You have an Azure Cosmos DB for NoSQL database named DB1 that hosts a container named Container1. The partition key for Container1 is /pk1.
You have a .NET app that connects to DB1.
You need to retrieve the request unit (RU) cost of a point operation and store the value as a variable.
How should you complete the C# code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 41
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 # 42
You have a container in an Azure Cosmos DB for NoSQL account.
You need to create an alert based on a custom Log Analytics query.
Which signal type should you use?

Answer: A


NEW QUESTION # 43
You plan to create an Azure Cosmos DB database named db1 that will contain two containers. One of the containers will contain blog posts, and the other will contain users. Each item in the blog post container will include:
* A single blog post
* All the comments associated to the blog post
* The names of the users who created the blog post and added the comments to the blog post Items in the blog post container will be partitioned based on the post ID. Items in the user container will be partitioned based on the user ID.
You need to minimize the number of request units allocated to queries that list all the posts of a given user.
The solution must minimize administrative and development effort
What should you include in the solution?

Answer: A


NEW QUESTION # 44
......

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