NEW DP-203 EXAM ONLINE, DP-203 ACTUAL EXAM

New DP-203 Exam Online, DP-203 Actual Exam

New DP-203 Exam Online, DP-203 Actual Exam

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Tags: New DP-203 Exam Online, DP-203 Actual Exam, DP-203 Test Guide Online, Authorized DP-203 Test Dumps, Valid DP-203 Test Cram

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Our accurate, reliable, and top-ranked Data Engineering on Microsoft Azure (DP-203) exam questions will help you qualify for your Microsoft DP-203 certification on the first try. Do not hesitate and check out PrepAwayExam excellent Data Engineering on Microsoft Azure (DP-203) practice exam to stand out from the rest of the others.

Skills measured

  • Design and implement data security (10-15%)
  • Design and develop data processing (25-30%)
  • Monitor and optimize data storage and data processing (10-15%)
  • Design and implement data storage (40-45%)

Microsoft DP-203 (Data Engineering on Microsoft Azure) certification exam is a valuable credential for data engineers who want to demonstrate their expertise in designing and implementing data solutions on Azure. It is a great way for professionals to advance their careers and increase their earning potential. With this certification, data engineers can showcase their skills and knowledge in data engineering concepts and practices, and prove their ability to design and implement data solutions on Azure.

Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is a highly valued certification for professionals working in the data engineering domain. It is an ideal certification for data engineers, data architects, and data scientists who want to showcase their expertise in working with Azure data technologies. With the right preparation and study, candidates can pass this certification exam and advance their careers in the data engineering field.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q132-Q137):

NEW QUESTION # 132
You are building an Azure Stream Analytics job to identify how much time a user spends interacting with a feature on a webpage.
The job receives events based on user actions on the webpage. Each row of data represents an event. Each event has a type of either 'start' or 'end'.
You need to calculate the duration between start and end events.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: DATEDIFF
DATEDIFF function returns the count (as a signed integer value) of the specified datepart boundaries crossed between the specified startdate and enddate.
Syntax: DATEDIFF ( datepart , startdate, enddate )
Box 2: LAST
The LAST function can be used to retrieve the last event within a specific condition. In this example, the condition is an event of type Start, partitioning the search by PARTITION BY user and feature. This way, every user and feature is treated independently when searching for the Start event. LIMIT DURATION limits the search back in time to 1 hour between the End and Start events.
Example:
SELECT
[user],
feature,
DATEDIFF(
second,
LAST(Time) OVER (PARTITION BY [user], feature LIMIT DURATION(hour,
1) WHEN Event = 'start'),
Time) as duration
FROM input TIMESTAMP BY Time
WHERE
Event = 'end'
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-stream-analytics-query-patterns


NEW QUESTION # 133
You have an Azure Stream Analytics job.
You need to ensure that the job has enough streaming units provisioned.
You configure monitoring of the SU % Utilization metric.
Which two additional metrics should you monitor? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Late Input Events
  • B. Backlogged Input Events
  • C. Watermark Delay
  • D. Function Events
  • E. Out of order Events

Answer: B,C

Explanation:
Explanation
To react to increased workloads and increase streaming units, consider setting an alert of 80% on the SU Utilization metric. Also, you can use watermark delay and backlogged events metrics to see if there is an impact.
Note: Backlogged Input Events: Number of input events that are backlogged. A non-zero value for this metric implies that your job isn't able to keep up with the number of incoming events. If this value is slowly increasing or consistently non-zero, you should scale out your job, by increasing the SUs.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitoring


NEW QUESTION # 134
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: You use a dedicated SQL pool to create an external table that has a additional DateTime column.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: A


NEW QUESTION # 135
You have an Azure Data Lake Storage Gen2 container that contains 100 TB of data.
You need to ensure that the data in the container is available for read workloads in a secondary region if an outage occurs in the primary region. The solution must minimize costs.
Which type of data redundancy should you use?

  • A. zone-redundant storage (ZRS)
  • B. locally-redundant storage (LRS)
  • C. read-access geo-redundant storage (RA-GRS)
  • D. geo-redundant storage (GRS)

Answer: C

Explanation:
Explanation
Geo-redundant storage (with GRS or GZRS) replicates your data to another physical location in the secondary region to protect against regional outages. However, that data is available to be read only if the customer or Microsoft initiates a failover from the primary to secondary region. When you enable read access to the secondary region, your data is available to be read at all times, including in a situation where the primary region becomes unavailable.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy


NEW QUESTION # 136
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:

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 # 137
......

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