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Microsoft Certification
DP-201 Exam
Microsoft.DP-201.v2022-04-23.q215 Dumps

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Question 96

You need to design a sharding strategy for the Planning Assistance database.
What should you recommend?

A.a list mapping shard map on the binary representation of the License Plate column
B.a range mapping shard map on the binary representation of the speed column
C.a list mapping shard map on the location column
D.a range mapping shard map on the time column

Correct Answer: A

Explanation/Reference:
Explanation:
Data used for Planning Assistance must be stored in a sharded Azure SQL Database.
A shard typically contains items that fall within a specified range determined by one or more attributes of
the data. These attributes form the shard key (sometimes referred to as the partition key). The shard key
should be static. It shouldn't be based on data that might change.
References:
https://docs.microsoft.com/en-us/azure/architecture/patterns/sharding

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Question 97

You need to design the storage for the visual monitoring system.
Which storage solution should you recommend?

A.Azure Blob storage
B.Azure Table storage
C.Azure SQL database
D.Azure Media Services

Correct Answer: A

Azure Blobs: A massively scalable object store for text and binary data.
Scenario:
* The visual monitoring system is a network of approximately 1,000 cameras placed near highways that capture images of vehicle traffic every 2 seconds. The cameras record high resolution images. Each image is approximately 3 MB in size.
* The solution must allow for searches of vehicle images by license plate to support law enforcement investigations. Searches must be able to be performed using a query language and must support fuzzy searches to compensate for license plate detection errors.
Incorrect Answers:
B: Azure Tables: A NoSQL store for schemaless storage of structured data.
D: Microsoft Azure Media Services (AMS) is a leading full-service media platform for securely delivering live and on-demand video to virtually any device.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-introduction

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Question 98

The following code segment is used to create an Azure Databricks cluster.

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

Correct Answer:

Explanation

Box 1: Yes
Box 2: No
autotermination_minutes: Automatically terminates the cluster after it is inactive for this time in minutes. If not set, this cluster will not be automatically terminated. If specified, the threshold must be between 10 and
10000 minutes. You can also set this value to 0 to explicitly disable automatic termination.
Box 3: Yes
References:
https://docs.databricks.com/dev-tools/api/latest/clusters.html

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Question 99

Which consistency level should you use for Health Interface?

A.Consistent Prefix
B.Session
C.Bounded Staleness
D.Strong

Correct Answer: D

Scenario: ADatum identifies the following requirements for the Health Interface application:
..reads must display be the most recent committed version of an item.
Azure Cosmos DB consistency levels include:
Strong: Strong consistency offers a linearizability guarantee. Linearizability refers to serving requests concurrently. The reads are guaranteed to return the most recent committed version of an item. A client never sees an uncommitted or partial write. Users are always guaranteed to read the latest committed write.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels

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Question 100

You need to design storage for the solution.
Which storage services should you recommend? To answer, select the appropriate configuration in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Images: Azure Data Lake Storage
Scenario: Image data must be stored in a single data store at minimum cost.
Customer data: Azure Blob Storage
Scenario: Customer data must be analyzed using managed Spark clusters.
Spark clusters in HDInsight are compatible with Azure Storage and Azure Data Lake Storage.
Azure Storage includes these data services: Azure Blob, Azure Files, Azure Queues, and Azure Tables.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview

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