2025年03月 Microsoft DP-420実際の問題とブレーン問題集
DP-420合格させる問題集でMicrosoft24時間で試験合格できます
Microsoft DP-420の認定試験は、複数選択肢の問題で構成され、いくつかの言語で利用可能です。この試験は、オンラインまたは認定テストセンターで受験することができます。この試験に合格するために、Microsoftは、Azure Cosmos DBのコンセプト、データモデリング、パーティショニング、インデックス作成、クエリ処理、スケーリングについて強い理解を持った候補者を推奨しています。候補者は、Microsoftの公式トレーニングコースや練習問題を利用して、試験に備えることもできます。Microsoft DP-420の認定試験に合格すると、デジタルバッジと証明書が授与され、Azure Cosmos DBを使用したクラウドネイティブアプリケーションの設計と実装における専門知識を証明することができます。
質問 # 82
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.
What is the effect of running the command?
- A. A manual failover will occur.
- B. The provisioned throughput for account1 will increase.
- C. The account will be unavailable to writes during the change.
- D. The account will be configured for multi-region writes.
正解:C
解説:
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.
質問 # 83
You have the following query.
SELECT * FROM с
WHERE c.sensor = "TEMP1"
AND c.value < 22
AND c.timestamp >= 1619146031231
You need to recommend a composite index strategy that will minimize the request units (RUs) consumed by the query.
What should you recommend?
- A. a composite index for (sensor ASC, value ASC, timestamp ASC) and a composite index for (sensor DESC, value DESC, timestamp DESC)
- B. a composite index for (sensor ASC, value ASC) and a composite index for (sensor ASC, timestamp ASC)
- C. a composite index for (sensor ASC, value ASC, timestamp ASC)
- D. a composite index for (value ASC, sensor ASC) and a composite index for (timestamp ASC, sensor ASC)
正解:B
解説:
If a query has a filter with two or more properties, adding a composite index will improve performance.
Consider the following query:
SELECT * FROM c WHERE c.name = "Tim" and c.age > 18
In the absence of a composite index on (name ASC, and age ASC), we will utilize a range index for this query. We can improve the efficiency of this query by creating a composite index for name and age.
Queries with multiple equality filters and a maximum of one range filter (such as >,<, <=, >=, !=) will utilize the composite index.
質問 # 84
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.
What is the effect of running the command?
- A. A manual failover will occur.
- B. The provisioned throughput for account1 will increase.
- C. The account will be configured for multi-region writes.
- D. The account will be unavailable to writes during the change.
正解:C
解説:
Explanation
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.
質問 # 85
You have an Azure Cosmos DB Core (SQL) API account used by an application named App1.
You open the Insights pane for the account and see the following chart.
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
正解:
解説:
質問 # 86
You have an Azure Cosmos DB database that contains a container named container 1. The container1 container is configured with a maximum of 20,000 RU/s and currently contains 240 GB of data.
You need to estimate the costs of container1 based on the current usage.
How many RU/s will be charged?
- A. 20,000
- B. 0
- C. 4.000
- D. 1
正解:C
質問 # 87
You have a container in an Azure Cosmos DB for NoSQL account. The database that has a manual throughput of 30,000 request units per second (RU/s). The current consumption details are shewn in the following chart.
Normalized RU Consumption (%) By PartitionKeyRangeID

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
正解:
解説:
Explanation:
質問 # 88
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:
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 # 89
You have an Azure Cosmos DB account named account1 that has a default consistency level of session.
You have an app named App1.
You need to ensure that the read operations of App1 can request either bounded staleness or consistent prefix consistency.
What should you modify for each consistency level? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:
解説:
質問 # 90
The following is a sample of a document in orders.
The orders container uses customer as the partition key.
You need to provide a report of the total items ordered per month by item type. The solution must meet the following requirements:
Ensure that the report can run as quickly as possible.
Minimize the consumption of request units (RUs).
What should you do?
- A. Configure the report to query orders by using a SQL query.
- B. Configure the report to query a new aggregate container. Populate the aggregates by using the change feed.
- C. Configure the report to query a new aggregate container. Populate the aggregates by using SQL queries that run daily.
- D. Configure the report to query orders by using a SQL query through a dedicated gateway.
正解:B
解説:
Explanation
You can facilitate aggregate data by using Change Feed and Azure Functions, and then use it for reporting.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed
質問 # 91
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.
正解:
解説:
Explanation
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to "append", which means that new and updated orders will be added to the destination container1.
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. Stream processing is a process of continuously processing data as it arrives in real-time2.
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers have Analytics store enabled, which is a feature that allows Spark pools to query data stored in Azure Cosmos DB containers using SQL APIs3.
質問 # 92
You have an Azure Cosmos DB container named container1.
You need to insert an item into contained. The solution must ensure that the item is deleted automatically after two hours.
How should you complete the item definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:
解説:
質問 # 93
You have a database in an Azure Cosmos DB Core (SQL) API account.
You need to create an Azure function that will access the database to retrieve records based on a variable named accountnumber. The solution must protect against SQL injection attacks.
How should you define the command statement in the function?
- A. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = '" + accountnumber + "'" - B. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = @accountnumber" - C. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = LIKE @accountnumber" - D. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = 'accountnumber'"
正解:B
解説:
Azure Cosmos DB supports queries with parameters expressed by the familiar @ notation. Parameterized SQL provides robust handling and escaping of user input, and prevents accidental exposure of data through SQL injection.
For example, you can write a query that takes lastName and address.state as parameters, and execute it for various values of lastName and address.state based on user input.
SELECT *
FROM Families f
WHERE f.lastName = @lastName AND f.address.state = @addressState
質問 # 94
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database. The accounts will be configured as shown in the following table.
How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:
解説:
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale
質問 # 95
You have a container named container1 in an Azure Cosmos DB for NoSQL account named account1.
You configure container1 to use Always Encrypted by using an encryption policy as shown in the C# and the Java exhibits. (Click the C# tab to view the encryption policy in C#. Click the Java tab to see the encryption policy in Java.)

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:
According to the Azure Cosmos DB documentation1, Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national identification numbers, stored in Azure Cosmos DB.
Always Encrypted allows clients to encrypt sensitive data inside client applications and never reveal the encryption keys to the database.
To use Always Encrypted, you need to define an encryption policy for each container that specifies which properties should be encrypted and which data encryption keys (DEK) should be used. The DEKs are stored in Azure Cosmos DB and are wrapped by customer-managed keys (CMK) that are stored in Azure Key Vault.
Based on the encryption policy shown in the exhibits, the creditcard property is encrypted with a DEK named dek1, and the SSN property is encrypted with a DEK named dek2. Both DEKs are wrapped by a CMK named cmk1.
To answer your statements:
* You can perform a query that filters on the creditcard property = No. This is because the creditcard property is encrypted and cannot be used for filtering or sorting operations1.
* You can perform a query that filters on the SSN property = No. This is also because the SSN property is encrypted and cannot be used for filtering or sorting operations1.
* An application can be allowed to read the creditcard property while being restricted from reading the SSN property = Yes. This is possible by using different CMKs to wrap different DEKs and applying access policies on the CMKs in Azure Key Vault. For example, if you use cmk2 to wrap dek2 instead of cmk1, you can grant an application access to cmk1 but not cmk2, which means it can read the creditcard property but not the SSN property2.
質問 # 96
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.
What is the effect of running the command?
- A. A manual failover will occur.
- B. The provisioned throughput for account1 will increase.
- C. The account will be unavailable to writes during the change.
- D. The account will be configured for multi-region writes.
正解:C
解説:
Explanation
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.
質問 # 97
You need to provide a solution for the Azure Functions notifications following updates to con-product. The solution must meet the business requirements and the product catalog requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Configure the trigger for each function to use the same leaseCollectionNair.e
- B. Configure the trigger for each function to use a different leaseCollectionPrefix
- C. Configure the trigger for each function to use the same leaseCollectionPrefix
- D. Configure the trigger for each function to use a different leaseCollectionName
正解:B、D
解説:
Explanation
leaseCollectionPrefix: when set, the value is added as a prefix to the leases created in the Lease collection for this Function. Using a prefix allows two separate Azure Functions to share the same Lease collection by using different prefixes.
Scenario: Use Azure Functions to send notifications about product updates to different recipients.
Trigger the execution of two Azure functions following every update to any document in the con-product container.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb-v2-trigger
質問 # 98
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.
正解:
解説:
Explanation:
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to "append", which means that new and updated orders will be added to the destination container1.
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. Stream processing is a process of continuously processing data as it arrives in real-time2.
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers have Analytics store enabled, which is a feature that allows Spark pools to query data stored in Azure Cosmos DB containers using SQL APIs3.
質問 # 99
You have an Azure Cosmos DB for NoSQL account.
You plan 10 create a container named container1. The container1 container will store items that include two properties named nm and age The most commonly executed queries will query container1 for a specific name. The following is a sample of the query.
You need to define an opt-in Indexing policy for container1. The solution must meet the following requirements:
* Minimize the number of request units consumed by the queries.
* Ensure that the _etag property is excluded from indexing.
How should you define the indexing poky? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection Is worth one point.
正解:
解説:
質問 # 100
You have a container named container1 in an Azure Cosmos DB for NoSQL account named account1 that is set to the session default consistency level. The average size of an item in container1 is 20 KB.
You have an application named App1 that uses the Azure Cosmos DB SDK and performs a point read on the same set of items in container1 every minute.
You need to minimize the consumption of the request units (RUs) associated to the reads by App1. What should you do?
- A. In account1, change the default consistency level to bounded staleness.
- B. In App1, change the consistency level of read requests to consistent prefix.
- C. In App1, modify the connection policy settings.
- D. In account1, provision a dedicated gateway and integrated cache
正解:D
解説:
The cost of a point read for a 1 KB item is 1 RU. The cost of other operations depends on factors such as item size, indexing policy, consistency level, and query complexity1. To minimize the consumption of RUs, you can optimize these factors according to your application needs.
For your scenario, one possible way to minimize the consumption of RUs associated to the reads by App1 is to change the consistency level of read requests to consistent prefix. Consistent prefix is a lower consistency level than session, which is the default consistency level for Azure Cosmos DB. Lower consistency levels consume fewer RUs than higher consistency levels2. Consistent prefix guarantees that reads never see out-of-order writes and that monotonic reads are preserved1. This may be suitable for your application if you can tolerate some eventual consistency.
質問 # 101
You have an Azure Cosmos DB for NoSQL account named account that has the disablekeyBasedletadatwriteAccess property enabled.
You are developing an app named App1 that will be used by a use1 named DevUser1 to create containers in account1. DevUser1 has a non-privileged user account in the Azure AD tenant.
You need to ensure that DevUser1 can use App1 to create containers in account1.
What should you do? 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 # 102
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DP-420試験では、Azure Cosmos DBを使用したクラウドネイティブアプリケーション開発に関連するさまざまなトピックをカバーしています。これには、コンテナの設計と実装、データストレージソリューションの設計と実装、セキュリティソリューションの設計と実装などのトピックが含まれます。この認定試験は、これらのトピックに関する個人の知識と、この知識を実際のシナリオに適用する能力をテストするように設計されています。
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