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Microsoft完璧な素材の選択については、品質、価格、アフターサービスなどに反映される場合があります。 DP-420試験シミュレーションは、Pass4Test試験のシラバスに厳密に基づいた試験に関する知識の蓄積です。 情報や試験へのアクセスをユーザーに提供し、教室のように参加したときに模擬的なテスト環境を提供します。 また、DP-420学習ガイドの内容は、日常生活での実践に適した専門家によって選択されます。 DP-420準備資料Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DBを渡すのに十分な時間がない忙しい労働者にとって特に有利です。
Microsoft DP-420 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Integrate an Azure Cosmos DB solution | 5-10% | - Integrate with Azure services
- 1. Connect to Azure Stream Analytics
- 2. Use with Azure Functions, Logic Apps, Event Hubs
- Enable analytical workloads
- 1. Use Synapse Link
- 2. Configure analytical store
|
| Topic 2: Design and implement data distribution | 5-10% | - 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
|
| Topic 3: Optimize an Azure Cosmos DB solution | 15-20% | - Work with change feed
- 1. Process changes incrementally
- 2. Trigger downstream workflows
- 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
|
| Topic 4: Design and implement data models | 35-40% | - 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. Store multiple entity types in one container
- 2. Reference between documents
- 3. Define primary and unique keys
- 4. Configure time-to-live (TTL)
- 5. Identify data and access patterns
- 6. Embed related entities in documents
- 7. Denormalize data across documents
- Implement connectivity and data access
- 1. Use SDKs to connect and operate
- 2. Write efficient SQL queries
|
| Topic 5: Maintain an Azure Cosmos DB solution | 25-30% | - DevOps and automation
- 1. Automate operations
- 2. Deploy via ARM, Bicep, CLI
- Manage data movement
- 1. Import/export data
- 2. Migrate between APIs or regions
- Implement security
- 1. Encrypt data at rest and in transit
- 2. Manage authentication and authorization
- Monitor and troubleshoot
- 1. Use Azure Monitor and Application Insights
- 2. Analyze metrics and logs
- Implement backup and restore
- 1. Configure periodic backup
- 2. Perform point-in-time restore
|
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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB 認定 DP-420 試験問題 (Q92-Q97):
質問 # 92
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.
You need to design a solution to update usernames m the user container without causing data integrity issues.
The solution must minimize administrative and development effort. What should you include in the solution?
To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:
解説:

Explanation:

質問 # 93
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account. The container1 container has 120 GB of data.
The following is a sample of a document in container1.

The orderId property is used as the partition key.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解:
解説:

Explanation:

Box 1: Yes
Records with different OrderIDs will match.
Box 2: Yes
Records with different OrderIDs will match.
Box 3: No
Only records with one specific OrderId will match
質問 # 94
You have three containers in an Azure Cosmos DB Core (SQL) API account as shown in the following table.

You have the following Azure functions:
A function named Fn1 that reads the change feed of cn1
A function named Fn2 that reads the change feed of cn2
A function named Fn3 that reads the change feed of cn3
You perform the following actions:
Delete an item named item1 from cn1.
Update an item named item2 in cn2.
For an item named item3 in cn3, update the item time to live to 3,600 seconds.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解:
解説:

Explanation:

Box 1: No
Azure Cosmos DB's change feed is a great choice as a central data store in event sourcing architectures where all data ingestion is modeled as writes (no updates or deletes).
Note: The change feed does not capture deletes. If you delete an item from your container, it is also removed from the change feed. The most common method of handling this is adding a soft marker on the items that are being deleted. You can add a property called "deleted" and set it to "true" at the time of deletion. This document update will show up in the change feed. You can set a TTL on this item so that it can be automatically deleted later.
Box 2: No
The _etag format is internal and you should not take dependency on it, because it can change anytime.
Box 3: Yes
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos container for any changes.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-design-patterns
https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed
質問 # 95
You have operational data in an Azure Cosmos OB for NoSQL database.
Database users report that the performance of the database degrades significantly when a business analytics team runs large Apache Spark-based queries against the database.
You need 10 reduce the impact that running the Spark-based queries has on the database users.
What should you implement?
- A. Azure Synapse Link
- B. the Spark connector
- C. a default consistency level of Consistent Prefix
- D. a default consistency level of Strong
正解:A
質問 # 96
You have a container in an Azure Cosmos DB for NoSQL account that stores data about orders. The following is a sample of an order document.

Documents are up to 2 KB.
You plan to receive one million orders daily.
Customers will frequently view then past order history.
You are the evaluating whether to use orderDate as the partition key.
What are two effects of using orderDate as the partition key? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. You will exceed the maximum number of partition key values.
- B. There will always be a hot partition.
- C. Queries will run cross-partition.
- D. You will exceed the maximum storage per partition.
正解:B、C
質問 # 97
......
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