DP-203 CERT TORRENT & DP-203 ACTUAL ANSWERS & DP-203 PRACTICE PDF

DP-203 Cert Torrent & DP-203 Actual Answers & DP-203 Practice Pdf

DP-203 Cert Torrent & DP-203 Actual Answers & DP-203 Practice Pdf

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Microsoft DP-203 (Data Engineering on Microsoft Azure) exam is designed to assess the skills and knowledge of data professionals who work on the Azure platform. Data Engineering on Microsoft Azure certification exam is one of the most widely recognized and respected credentials in the field of data engineering. Passing DP-203 exam demonstrates that an individual has a thorough understanding of the tools and technologies used for data engineering on Microsoft Azure.

Microsoft DP-203 certification exam is an excellent way for data professionals to validate their skills and demonstrate their expertise in data engineering on Microsoft Azure. Whether you are looking to advance your career or improve your organization's data engineering capabilities, this certification can be a valuable asset.

Microsoft DP-203: Data Engineering on Microsoft Azure Exam is a valuable certification for professionals who want to specialize in data engineering on Azure. DP-203 Exam Tests the candidate's expertise in designing, implementing, and maintaining data processing solutions on Azure. It is an opportunity to enhance one's career prospects and showcase one's skills in the field of data engineering.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q360-Q365):

NEW QUESTION # 360
You develop a dataset named DBTBL1 by using Azure Databricks.
DBTBL1 contains the following columns:
SensorTypeID
GeographyRegionID
Year
Month
Day
Hour
Minute
Temperature
WindSpeed
Other
You need to store the data to support daily incremental load pipelines that vary for each GeographyRegionID.
The solution must minimize storage costs.
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
Graphical user interface, text, application Description automatically generated


NEW QUESTION # 361
You plan to develop a dataset named Purchases by using Azure databricks Purchases will contain the following columns:
* ProductID
* ItemPrice
* lineTotal
* Quantity
* StorelD
* Minute
* Month
* Hour
* Year
* Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. the solution must minimize storage costs. How should you complete the rode? To answer, select the appropriate options In the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: partitionBy
We should overwrite at the partition level.
Example:
df.write.partitionBy("y","m","d")
mode(SaveMode.Append)
parquet("/data/hive/warehouse/db_name.db/" + tableName)
Box 2: ("StoreID", "Year", "Month", "Day", "Hour", "StoreID")
Box 3: parquet("/Purchases")
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting- partitions-with-no-new-data


NEW QUESTION # 362
You are designing an Azure Synapse Analytics workspace.
You need to recommend a solution to provide double encryption of all the data at rest.
Which two components should you include in the recommendation? Each coned answer presents part of the solution NOTE: Each correct selection is worth one point.

  • A. an Azure Policy initiative
  • B. an Azure key vault that has purge protection enabled
  • C. an X509 certificate
  • D. an RSA key
  • E. an Azure virtual network that has a network security group (NSG)

Answer: C,E

Explanation:
Synapse workspaces encryption uses existing keys or new keys generated in Azure Key Vault. A single key is used to encrypt all the data in a workspace. Synapse workspaces support RSA 2048 and 3072 byte-sized keys, and RSA-HSM keys.
The Key Vault itself needs to have purge protection enabled.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/security/workspaces-encryption


NEW QUESTION # 363
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. Baddogged Input Events
  • C. Function Events
  • D. Out of order Events

Answer: B


NEW QUESTION # 364
You plan to create a table in an Azure Synapse Analytics dedicated SQL pool.
Data in the table will be retained for five years. Once a year, data that is older than five years will be deleted.
You need to ensure that the data is distributed evenly across partitions. The solution must minimize the amount of time required to delete old data.
How should you complete the Transact-SQL statement? 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:

Explanation:
Box 1: HASH
Box 2: OrderDateKey
In most cases, table partitions are created on a date column.
A way to eliminate rollbacks is to use Metadata Only operations like partition switching for data management.
For example, rather than execute a DELETE statement to delete all rows in a table where the order_date was in October of 2001, you could partition your data early. Then you can switch out the partition with data for an empty partition from another table.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-azure-sql-data-warehouse
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/best-practices-dedicated-sql-pool


NEW QUESTION # 365
......

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