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Free PDF Microsoft - DP-203 Authoritative Exam Vce Free

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Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is a certification exam that tests the skills and knowledge of candidates in designing and implementing data solutions on Microsoft Azure. DP-203 exam is designed for data engineers who work with data storage, processing, and analysis on Azure. DP-203 Exam covers a range of topics such as data ingestion, transformation, storage, and processing using Azure services like Azure Data Factory, Azure Databricks, Azure Stream Analytics, and more.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q148-Q153):

NEW QUESTION # 148
You have an Azure subscription that contains an Azure Databricks workspace named databricks1 and an Azure Synapse Analytics workspace named synapse1. The synapse1 workspace contains an Apache Spark pool named pool1.
You need to share an Apache Hive catalog of pool1 with databricks1.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 149
You have an Azure Data Factory version 2 (V2) resource named Df1. Df1 contains a linked service.
You have an Azure Key vault named vault1 that contains an encryption key named key1.
You need to encrypt Df1 by using key1.
What should you do first?

A. Remove the linked service from Df1.
B. Create a self-hosted integration runtime.
C. Enable Azure role-based access control on vault 1.
D. Add a private endpoint connection to vault 1.

Answer: D

Explanation:
Linked services are much like connection strings, which define the connection information needed for Data Factory to connect to external resources.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/enable-customer-managed-key
https://docs.microsoft.com/en-us/azure/data-factory/concepts-linked-services
https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime

NEW QUESTION # 150
From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays.
The data contains the following columns.

You need to design a star schema to support analytical queries of the data. The star schema will contain four tables including a date dimension.
To which table should you add each column? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/star-schema

NEW QUESTION # 151
You are designing a slowly changing dimension (SCD) for supplier data in an Azure Synapse Analytics dedicated SQL pool.
You plan to keep a record of changes to the available fields.
The supplier data contains the following columns.

Which three additional columns should you add to the data to create a Type 2 SCD? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. business key
B. surrogate primary key
C. effective start date
D. last modified date
E. foreign key
F. effective end date

Answer: A,C,E

Explanation:
Reference:
https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/slowly-changing-dimension-

NEW QUESTION # 152
You are designing a financial transactions table in an Azure Synapse Analytics dedicated SQL pool. The table will have a clustered columnstore index and will include the following columns:
* TransactionType: 40 million rows per transaction type
* CustomerSegment: 4 million per customer segment
* TransactionMonth: 65 million rows per month
* AccountType: 500 million per account type
You have the following query requirements:
* Analysts will most commonly analyze transactions for a given month.
* Transactions analysis will typically summarize transactions by transaction type, customer segment, and/or account type You need to recommend a partition strategy for the table to minimize query times.
On which column should you recommend partitioning the table?

A. TransactionType
B. CustomerSegment
C. TransactionMonth
D. AccountType

Answer: A

Explanation:
Explanation
For optimal compression and performance of clustered columnstore tables, a minimum of 1 million rows per distribution and partition is needed. Before partitions are created, dedicated SQL pool already divides each table into 60 distributed databases.
Example: Any partitioning added to a table is in addition to the distributions created behind the scenes. Using this example, if the sales fact table contained 36 monthly partitions, and given that a dedicated SQL pool has
60 distributions, then the sales fact table should contain 60 million rows per month, or 2.1 billion rows when all months are populated. If a table contains fewer than the recommended minimum number of rows per partition, consider using fewer partitions in order to increase the number of rows per partition.

NEW QUESTION # 153
......

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