REALISTIC 100% DP-203 EXAM COVERAGE - ACCURATE DATA ENGINEERING ON MICROSOFT AZURE TEST

Realistic 100% DP-203 Exam Coverage - Accurate Data Engineering on Microsoft Azure Test

Realistic 100% DP-203 Exam Coverage - Accurate Data Engineering on Microsoft Azure Test

Blog Article

Tags: 100% DP-203 Exam Coverage, Accurate DP-203 Test, New DP-203 Test Objectives, Exam Dumps DP-203 Free, DP-203 Valid Braindumps Ebook

BONUS!!! Download part of Actual4Dumps DP-203 dumps for free: https://drive.google.com/open?id=1Qt8rGn4HyQmNEvP9RQ5nJMhu82-HCpY0

They are committed to assisting you in Microsoft DP-203 exam preparation and boosting the DP-203 exam candidate's confidence to pass it. The Data Engineering on Microsoft Azure (DP-203) exam questions are designed and verified by Microsoft exam trainers. They check and ensure each DP-203 Practice Questions are real, updated, and accurate. So rest assured that with the Data Engineering on Microsoft Azure (DP-203) practice exams you can get success in challenging the DP-203 exam easily.

Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is designed to test the skills and knowledge of professionals who work with data engineering on the Azure platform. DP-203 exam is part of the Microsoft Certified: Azure Data Engineer Associate certification and is intended for individuals who have experience building and maintaining data pipelines, implementing data storage solutions, and performing data processing using Azure services.

>> 100% DP-203 Exam Coverage <<

Accurate DP-203 Test | New DP-203 Test Objectives

A good DP-203 certification must be supported by a good DP-203 exam practice, which will greatly improve your learning ability and effectiveness. Our study materials have the advantage of short time, high speed and high pass rate. You only take 20 to 30 hours to practice our DP-203 Guide materials and then you can take the exam. If you use our study materials, you can get the DP-203 certification by spending very little time and energy reviewing and preparing.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q345-Q350):

NEW QUESTION # 345
You have an enterprise data warehouse in Azure Synapse Analytics that contains a table named FactOnlineSales. The table contains data from the start of 2009 to the end of 2012.
You need to improve the performance of queries against FactOnlineSales by using table partitions. The solution must meet the following requirements:
Create four partitions based on the order date.
Ensure that each partition contains all the orders places during a given calendar year.
How should you complete the T-SQL command? 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/sql/t-sql/statements/create-partition-function-transact-sql?view=sql-server-ver15


NEW QUESTION # 346
You have an Azure Synapse Analytics dedicated SQL pool.
You need to create a table named FactInternetSales that will be a large fact table in a dimensional model.
FactInternetSales will contain 100 million rows and two columns named SalesAmount and OrderQuantity.
Queries executed on FactInternetSales will aggregate the values in SalesAmount and OrderQuantity from the last year for a specific product. The solution must minimize the data size and query execution time.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: (CLUSTERED COLUMNSTORE INDEX
CLUSTERED COLUMNSTORE INDEX
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. This index uses column-based data storage and query processing to achieve gains up to 10 times the query performance in your data warehouse over traditional row-oriented storage. You can also achieve gains up to 10 times the data compression over the uncompressed data size. Beginning with SQL Server 2016 (13.x) SP1, columnstore indexes enable operational analytics: the ability to run performant real-time analytics on a transactional workload.
Note: Clustered columnstore index
A clustered columnstore index is the physical storage for the entire table.
Diagram Description automatically generated

To reduce fragmentation of the column segments and improve performance, the columnstore index might store some data temporarily into a clustered index called a deltastore and a B-tree list of IDs for deleted rows. The deltastore operations are handled behind the scenes. To return the correct query results, the clustered columnstore index combines query results from both the columnstore and the deltastore.
Box 2: HASH([ProductKey])
A hash distributed table distributes rows based on the value in the distribution column. A hash distributed table is designed to achieve high performance for queries on large tables.
Choose a distribution column with data that distributes evenly
Reference: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-overview
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribu


NEW QUESTION # 347
You have the following Azure Stream Analytics query.

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

Answer:

Explanation:

Explanation
Box 1: No
Note: You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data.
The outcome is a stream that has the same partition scheme. Please see below for an example:
WITH step1 AS (SELECT * FROM [input1] PARTITION BY DeviceID INTO 10),
step2 AS (SELECT * FROM [input2] PARTITION BY DeviceID INTO 10)
SELECT * INTO [output] FROM step1 PARTITION BY DeviceID UNION step2 PARTITION BY DeviceID Note: The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement.
Box 2: Yes
When joining two streams of data explicitly repartitioned, these streams must have the same partition key and partition count.
Box 3: Yes
Streaming Units (SUs) represents the computing resources that are allocated to execute a Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job.
In general, the best practice is to start with 6 SUs for queries that don't use PARTITION BY.
Here there are 10 partitions, so 6x10 = 60 SUs is good.
Note: Remember, Streaming Unit (SU) count, which is the unit of scale for Azure Stream Analytics, must be adjusted so the number of physical resources available to the job can fit the partitioned flow. In general, six SUs is a good number to assign to each partition. In case there are insufficient resources assigned to the job, the system will only apply the repartition if it benefits the job.
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption


NEW QUESTION # 348
You have an Azure Synapse Analytics dedicated SQL pool that hosts a database named DB1 You need to ensure that D81 meets the following security requirements:
* When credit card numbers show in applications, only the last four digits must be visible.
* Tax numbers must be visible only to specific users.
What should you use for each requirement? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 349
You build an Azure Data Factory pipeline to move data from an Azure Data Lake Storage Gen2 container to a database in an Azure Synapse Analytics dedicated SQL pool.
Data in the container is stored in the following folder structure.
/in/{YYYY}/{MM}/{DD}/{HH}/{mm}
The earliest folder is /in/2021/01/01/00/00. The latest folder is /in/2021/01/15/01/45.
You need to configure a pipeline trigger to meet the following requirements:
Existing data must be loaded.
Data must be loaded every 30 minutes.
Late-arriving data of up to two minutes must he included in the load for the time at which the data should have arrived.
How should you configure the pipeline trigger? To answer, select the appropriate options in the answer are a.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-tumbling-window-trigger


NEW QUESTION # 350
......

Firstly, we can give you 100% pass rate guarantee on the DP-203 exam. Our DP-203 practice quiz is equipped with a simulated examination system with timing function, allowing you to examine your learning results at any time, keep checking for defects, and improve your strength. Secondly, during the period of using DP-203 learning guide, we also provide you with 24 hours of free online services, which help to solve any problem for you on the DP-203 exam questions at any time and sometimes mean a lot to our customers.

Accurate DP-203 Test: https://www.actual4dumps.com/DP-203-study-material.html

What's more, part of that Actual4Dumps DP-203 dumps now are free: https://drive.google.com/open?id=1Qt8rGn4HyQmNEvP9RQ5nJMhu82-HCpY0

Report this page