Free PDF Microsoft - DP-420 - Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Unparalleled Reliable Dumps

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The DP-420 exam is ideal for developers, architects, and database administrators who want to demonstrate their expertise in designing and implementing cloud-native applications using Cosmos DB. DP-420 exam also validates the candidate's ability to design and implement globally distributed, scalable, and highly available applications using Cosmos DB. Passing DP-420 Exam will help professionals stand out in the job market and demonstrate their credibility in cloud-native application development.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q123-Q128):

NEW QUESTION # 123
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Cosmos DB Core (SQL) API account named account 1 that uses autoscale throughput.
You need to run an Azure function when the normalized request units per second for a container in account1 exceeds a specific value.
Solution: You configure an Azure Monitor alert to trigger the function.
Does this meet the goal?

A. No
B. Yes

Answer: B

Explanation:
You can set up alerts from the Azure Cosmos DB pane or the Azure Monitor service in the Azure portal.
Note: Alerts are used to set up recurring tests to monitor the availability and responsiveness of your Azure Cosmos DB resources. Alerts can send you a notification in the form of an email, or execute an Azure Function when one of your metrics reaches the threshold or if a specific event is logged in the activity log.

NEW QUESTION # 124
You have the following Azure Resource Manager (ARM) template.

You plan to deploy the template in incremental mode.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:

Explanation:

Explanation:

NEW QUESTION # 125
You have a database in an Azure Cosmos DB for NoSQL account. The database contains a container named container1. The indexing mode container1 is set to none. You configure Azure Cognitive Search to extract data from container1 and make the data searchable. You discover that the Cognitive Search index is missing all the data from the Azure Cosmos DB index. What should you do to resolve the issue?

A. Change the indexing mode of container 1 to consistent-
B. Modify The index attributes in Cognitive Search to searchable.
C. Modify the index attributes in Cognitive Search to Retrievable.
D. Modify the indexing policy of container 1 to exclude the / * path

Answer: A

NEW QUESTION # 126
You have an app that stores data in an Azure Cosmos DB Core (SQL) API account The app performs queries that return large result sets.
You need to return a complete result set to the app by using pagination. Each page of results must return 80 items.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

Step 1: Configure the MaxItemCount in QueryRequestOptions
You can specify the maximum number of items returned by a query by setting the MaxItemCount. The MaxItemCount is specified per request and tells the query engine to return that number of items or fewer.
Box 2: Run the query and provide a continuation token
In the .NET SDK and Java SDK you can optionally use continuation tokens as a bookmark for your query's progress. Azure Cosmos DB query executions are stateless at the server side and can be resumed at any time using the continuation token.
If the query returns a continuation token, then there are additional query results.
Step 3: Append the results to a variable
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-pagination

NEW QUESTION # 127
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?

A. Throughput
B. Collection action
C. Write throughput budget
D. Batch size

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.
Reference: https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db

NEW QUESTION # 128
......

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