DP-420인기자격증인증시험자료 - DP-420최고품질덤프샘플문제

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Microsoft DP-420 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Design and implement data models | 35-40% | - Implement client connectivity options
- 1. Implement singleton client
- 2. Choose gateway or direct connectivity mode
- 3. Create database connections
- 4. Use Azure Cosmos DB emulator
- 5. Configure client-side threading and logging
- 6. Handle connection errors
- Plan and implement sizing and scaling
- 1. Design resource governance and scaling
- 2. Configure throughput
- 3. Choose between serverless, provisioned, and free tier
- 4. Evaluate global distribution costs
- 5. Evaluate throughput and storage requirements
- Implement data access
- 1. Use consistency and query request options
- 2. Implement optimistic concurrency control
- 3. Implement patch operations
- 4. Manage transactional batch operations
- 5. Implement SQL queries with arrays and aggregation
- 6. Use SDKs for CRUD operations
- Design a data partitioning strategy
- 1. Evaluate throughput and data distribution
- 2. Plan for transactions with partition keys
- 3. Choose a partition key
- 4. Implement synthetic partition keys
- 5. Evaluate cross-partition query cost
- 6. Choose a partitioning strategy
- Implement server-side programming
- 1. Write and deploy stored procedures
- 2. Implement user-defined functions
- 3. Implement triggers
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
- 1. Denormalize data across documents
- 2. Store multiple entity types in the same container
- 3. Identify data and associated access patterns
- 4. Reference between documents
- 5. Store multiple related entities in the same document
- 6. Identify partition key, id, and unique keys
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Design and implement change feeds
- 1. Manage change feed instances
- 2. Develop Azure Functions triggers
- 3. Consume change feeds using SDK
- 4. Implement aggregation persistence
- Define and implement indexing strategy
- 1. Implement composite indexes
- 2. Configure custom indexing policies
- 3. Choose read-heavy or write-heavy indexing
- 4. Optimize index performance
- 5. Choose appropriate index types
- Optimize query performance
- 1. Implement integrated cache
- 2. Retrieve request unit cost
- 3. Adjust indexing policies
- 4. Calculate query cost
|
| Design and implement data distribution | 5-10% | - Design and implement replication strategy
- 1. Perform manual failovers
- 2. Evaluate consistency model impacts
- 3. Choose a consistency model
- 4. Choose when to distribute data
- 5. Define automatic failover policies
- Design and implement multi-region writes
- 1. Choose when to use multi-region writes
- 2. Implement multi-region writes
- 3. Implement conflict resolution policies
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Implement solutions across services
- 1. Enforce referential integrity
- 2. Integrate Azure Functions and Event Hubs
- 3. Implement Azure AI Search integration
- 4. Aggregate and archive data
- 5. Use Change Feed for denormalization
- Enable analytical workloads
- 1. Configure Azure Cosmos DB Mirroring
- 2. Write data back from Spark
- 3. Enable analytical store
- 4. Query analytical store from Synapse
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
- 1. Implement backup and recovery strategies
- 2. Monitor performance and availability
- 3. Troubleshoot throughput issues
- 4. Monitor metrics and logs
|
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최신 Azure Cosmos DB Developer Specialty DP-420 무료샘플문제 (Q230-Q235):
질문 # 230
You provision Azure resources by using the following Azure Resource Manager (ARM) template.

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

정답:
설명:

질문 # 231
You are creating a database in an Azure Cosmos DB Core (SQL) API account. The database will be used by an application that will provide users with the ability to share online posts. Users will also be able to submit comments on other users' posts.
You need to store the data shown in the following table.

The application has the following characteristics:
Users can submit an unlimited number of posts.
The average number of posts submitted by a user will be more than 1,000.
Posts can have an unlimited number of comments from different users.
The average number of comments per post will be 100, but many posts will exceed 1,000 comments.
Users will be limited to having a maximum of 20 interests.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답:
설명:

Explanation

Box 1: Yes
Non-relational data increases write costs, but can decrease read costs.
Box 2: Yes
Non-relational data increases write costs, but can decrease read costs.
Box 3: No
Non-relational data increases write costs, but can decrease read costs.
질문 # 232
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.

정답:
설명:

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.
질문 # 233
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account. The account hosts a container named Container1 that stores product inventory data in the following format.

You need to query the average inventory quantity of each product in Washington, including the product name.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:
설명:

질문 # 234
You have an Azure Cosmos DB Core (SQL) API account.
You configure the diagnostic settings to send all log information to a Log Analytics workspace.
You need to identify when the provisioned request units per second (RU/s) for resources within the account were modified.
You write the following query.
AzureDiagnostics
| where Category == "ControlPlaneRequests"
What should you include in the query?
- A. | where OperationName startswith "SqlContainersDelete"
- B. | where OperationName startswith "MongoCollectionsThroughputUpdate"
- C. | where OperationName startswith "AccountUpdateStart"
- D. | where OperationName startswith "SqlContainersThroughputUpdate"
정답:D
설명:
AzureDiagnostics
| where Category == "ControlPlaneRequests"
| where OperationName startswith "SqlContainersThroughputUpdate"
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/audit-control-plane-logs
질문 # 235
......
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