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Microsoft DP-203 (Data Engineering on Microsoft Azure) exam is a certification that validates an individual's knowledge and skills in designing and implementing data solutions using Microsoft Azure. Data Engineering on Microsoft Azure certification is designed for data engineers who are responsible for designing and implementing data solutions using various Azure services, including Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure HDInsight. DP-203 Exam measures an individual's ability to design, implement, monitor and optimize data solutions using these services and ensures that the individual has the necessary skills to meet the growing demand for data engineers in the industry.
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Microsoft DP-203 Exam is an excellent opportunity for professionals to showcase their skills in data engineering on Microsoft Azure. Data Engineering on Microsoft Azure certification helps candidates to stand out in the job market and opens up new opportunities for career growth. It also validates the candidate's expertise in designing and implementing data solutions on Azure.
Microsoft Data Engineering on Microsoft Azure Sample Questions (Q211-Q216):
NEW QUESTION # 211
You have an Azure Synapse Analytics dedicated SQL pool that contains the users shown in the following table.
User1 executes a query on the database, and the query returns the results shown in the following exhibit.
User1 is the only user who has access to the unmasked data.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: 0
The YearlyIncome column is of the money data type.
The Default masking function: Full masking according to the data types of the designated fields
* Use a zero value for numeric data types (bigint, bit, decimal, int, money, numeric, smallint, smallmoney, tinyint, float, real).
Box 2: the values stored in the database
Users with administrator privileges are always excluded from masking, and see the original data without any mask.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview
NEW QUESTION # 212
You are designing an application that will use an Azure Data Lake Storage Gen 2 account to store petabytes of license plate photos from toll booths. The account will use zone-redundant storage (ZRS).
You identify the following usage patterns:
* The data will be accessed several times a day during the first 30 days after the data is created. The data must meet an availability SU of 99.9%.
* After 90 days, the data will be accessed infrequently but must be available within 30 seconds.
* After 365 days, the data will be accessed infrequently but must be available within five minutes.
Answer:
Explanation:
Explanation:
Box 1: Hot
The data will be accessed several times a day during the first 30 days after the data is created. The data must meet an availability SLA of 99.9%.
Box 2: Cool
After 90 days, the data will be accessed infrequently but must be available within 30 seconds.
Data in the Cool tier should be stored for a minimum of 30 days.
When your data is stored in an online access tier (either Hot or Cool), users can access it immediately. The Hot tier is the best choice for data that is in active use, while the Cool tier is ideal for data that is accessed less frequently, but that still must be available for reading and writing.
Box 3: Cool
After 365 days, the data will be accessed infrequently but must be available within five minutes.
Reference: https://docs.microsoft.com/en-us/azure/storage/blobs/access-tiers-overview
https://docs.microsoft.com/en-us/azure/storage/blobs/archive-rehydrate-overview
NEW QUESTION # 213
You have an Azure subscription that contains the resources shown in the following table.
You need to read the files in storage1 by using ad-hoc queries and the openrowset function. The solution must ensure that each rowset contains a single JSON record.
To what should you set the format option of the openrowset function?
- A. PARQUET
- B. CSV
- C. DELTA
- D. JSON
Answer: D
NEW QUESTION # 214
You have an Azure Synapse Analytics serverless SQL pool, an Azure Synapse Analytics dedicated SQL pool, an Apache Spark pool, and an Azure Data Lake Storage Gen2 account.
You need to create a table in a lake database. The table must be available to both the serverless SQL pool and the Spark pool.
Where should you create the table, and Which file format should you use for data in the table? TO answer, select the appropriate options in the answer are a.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 215
You are batch loading a table in an Azure Synapse Analytics dedicated SQL pool.
You need to load data from a staging table to the target table. The solution must ensure that if an error occurs while loading the data to the target table, all the inserts in that batch are undone.
How should you complete the Transact-SQL code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 216
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