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Microsoft DP-420 exam is designed to test the skills and knowledge of professionals who are looking to specialize in cloud-native application development using Microsoft Azure Cosmos DB. DP-420 exam is suitable for individuals who want to validate their expertise in designing and implementing cloud-native applications using Cosmos DB, which is a globally distributed, multi-model database service offered by Microsoft Azure.

Microsoft DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB exam is an excellent opportunity for professionals to demonstrate their skills and expertise in cloud-native application development. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification can help professionals enhance their career prospects and open up new opportunities in the cloud computing industry. With the right preparation and training, candidates can successfully pass the DP-420 Exam and earn this valuable certification.

The Microsoft DP-420 exam covers various topics related to Azure Cosmos DB, such as partitioning and scaling, data modeling, indexing, querying, and performance tuning. Additionally, candidates will be tested on their knowledge of cloud-native application design principles, including microservices, containerization, and serverless computing.

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q132-Q137):

NEW QUESTION # 132
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:

1 - Configure the MaxItemCount in QueryRequestOptions
2 - Run the query and provide a continuation token
3 - Append the results to a variable

NEW QUESTION # 133
You have an Azure Cosmos DB Core (SQL) API account.
You run the following query against a container in the account.
SELECT
IS_NUMBER("1234") AS A,
IS_NUMBER(1234) AS B,
IS_NUMBER({prop: 1234}) AS C
What is the output of the query?

A. [{"A": true, "B": true, "C": false}]
B. [{"A": true, "B": true, "C": true}]
C. [{"A": false, "B": true, "C": false}]
D. [{"A": true, "B": false, "C": true}]

Answer: C

Explanation:
IS_NUMBER returns a Boolean value indicating if the type of the specified expression is a number.
"1234" is a string, not a number.

NEW QUESTION # 134
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account. Upserts of items in container1 occur every three seconds.
You have an Azure Functions app named function1 that is supposed to run whenever items are inserted or replaced in container1.
You discover that function1 runs, but not on every upsert.
You need to ensure that function1 processes each upsert within one second of the upsert.
Which property should you change in the Function.json file of function1?

A. feedPollDelay
B. leaseCollectionsThroughput
C. maxItemsPerInvocation
D. checkpointInterval

Answer: A

Explanation:
With an upsert operation we can either insert or update an existing record at the same time.
FeedPollDelay: The time (in milliseconds) for the delay between polling a partition for new changes on the feed, after all current changes are drained. Default is 5,000 milliseconds, or 5 seconds.
Incorrect Answers:
A: checkpointInterval: When set, it defines, in milliseconds, the interval between lease checkpoints. Default is always after each Function call.
C: maxItemsPerInvocation: When set, this property sets the maximum number of items received per Function call. If operations in the monitored collection are performed through stored procedures, transaction scope is preserved when reading items from the change feed. As a result, the number of items received could be higher than the specified value so that the items changed by the same transaction are returned as part of one atomic batch.

NEW QUESTION # 135
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 are a. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 136
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 a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure Data Factory pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?

A. No
B. Yes

Answer: A

Explanation:
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution

NEW QUESTION # 137
......

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