DP-203 Practice Mock & DP-203 Dumps Vce

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Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is an essential certification for data professionals who are interested in working with data engineering concepts on the Microsoft Azure platform. DP-203 exam is designed to test an individual's knowledge and understanding of Azure data services, including the Azure Data Factory, Azure Synapse Analytics, and Azure Stream Analytics. The DP-203 Certification is an excellent way to demonstrate your expertise in data engineering on Azure and showcase your ability to design and implement data solutions using Azure services.

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Microsoft DP-203 Dumps Vce - DP-203 Exam Lab Questions

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The Microsoft DP-203 exam measures a candidate's ability to develop solutions using Azure services like Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. A candidate's knowledge on how to design and implement data processing solutions on Azure is also evaluated in the exam. Data Engineering on Microsoft Azure certification is ideal for data engineers who wish to demonstrate their ability to design and implement data solutions using Microsoft Azure services.

Microsoft DP-203 Certification Exam consists of various topics, including designing and implementing data storage solutions, designing and implementing data processing solutions, monitoring and optimizing data solutions, and designing and implementing data security. DP-203 exam is divided into two sections, where the first section includes multiple-choice questions, while the second section requires candidates to complete a practical task related to the topics covered in the exam.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q351-Q356):

NEW QUESTION # 351
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 # 352
You need to ensure that the Twitter feed data can be analyzed in the dedicated SQL pool. The solution must meet the customer sentiment analytics requirements.
Which three Transaction-SQL DDL commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:

Explanation:

NEW QUESTION # 353
You have an Azure subscription that contains an Azure Synapse Analytics workspace named workspace1.
Workspace1 contains a dedicated SQL pool named SQL Pool and an Apache Spark pool named sparkpool.
Sparkpool1 contains a DataFrame named pyspark.df.
You need to write the contents of pyspark_df to a tabte in SQLPooM by using a PySpark notebook.
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

NEW QUESTION # 354
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 # 355
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-partitio

NEW QUESTION # 356
......

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DP-203 Practice Mock & DP-203 Dumps Vce

Microsoft DP-203 Dumps Vce - DP-203 Exam Lab Questions

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q351-Q356):

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