DP-203 EXAM FORMAT & REAL DP-203 DUMPS

DP-203 Exam Format & Real DP-203 Dumps

DP-203 Exam Format & Real DP-203 Dumps

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Tags: DP-203 Exam Format, Real DP-203 Dumps, Valid DP-203 Study Notes, Exam DP-203 Fee, DP-203 Free Exam Questions

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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.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q133-Q138):

NEW QUESTION # 133
The following code segment is used to create an Azure Databricks cluster.

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:
Graphical user interface, text, application Description automatically generated

Box 1: Yes
A cluster mode of 'High Concurrency' is selected, unlike all the others which are 'Standard'. This results in a worker type of Standard_DS13_v2.
Box 2: No
When you run a job on a new cluster, the job is treated as a data engineering (job) workload subject to the job workload pricing. When you run a job on an existing cluster, the job is treated as a data analytics (all-purpose) workload subject to all-purpose workload pricing.
Box 3: Yes
Delta Lake on Databricks allows you to configure Delta Lake based on your workload patterns.
Reference:
https://adatis.co.uk/databricks-cluster-sizing/
https://docs.microsoft.com/en-us/azure/databricks/jobs
https://docs.databricks.com/administration-guide/capacity-planning/cmbp.html
https://docs.databricks.com/delta/index.html


NEW QUESTION # 134
You have an Azure Data Lake Storage Gen2 account that contains a JSON file for customers. The file contains two attributes named FirstName and LastName.
You need to copy the data from the JSON file to an Azure Synapse Analytics table by using Azure Databricks.
A new column must be created that concatenates the FirstName and LastName values.
You create the following components:
* A destination table in Azure Synapse
* An Azure Blob storage container
* A service principal
Which five actions should you perform in sequence next in is Databricks notebook? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:
1) mount onto DBFS
2) read into data frame
3) transform data frame
4) specify temporary folder
5) write the results to table in in Azure Synapse
https://docs.databricks.com/data/data-sources/azure/azure-datalake-gen2.html
https://docs.microsoft.com/en-us/azure/databricks/scenarios/databricks-extract-load-sql-data-warehouse


NEW QUESTION # 135
You use Azure Data Factory to prepare data to be queried by Azure Synapse Analytics serverless SQL pools.
Files are initially ingested into an Azure Data Lake Storage Gen2 account as 10 small JSON files. Each file contains the same data attributes and data from a subsidiary of your company.
You need to move the files to a different folder and transform the data to meet the following requirements:
Provide the fastest possible query times.
Automatically infer the schema from the underlying files.
How should you configure the Data Factory copy activity? 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/azure/storage/blobs/data-lake-storage-introduction
https://docs.microsoft.com/en-us/azure/data-factory/format-parquet


NEW QUESTION # 136
You are designing a date dimension table in an Azure Synapse Analytics dedicated SQL pool. The date dimension table will be used by all the fact tables.
Which distribution type should you recommend to minimize data movement?

  • A. REPLICATE
  • B. ROUND ROBIN
  • C. HASH

Answer: A

Explanation:
Explanation
A replicated table has a full copy of the table available on every Compute node. Queries run fast on replicated tables since joins on replicated tables don't require data movement. Replication requires extra storage, though, and isn't practical for large tables.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-overview


NEW QUESTION # 137
You have an Azure Synapse Analytics serverless SQ1 pool.
You have an Azure Data Lake Storage account named aols1 that contains a public container named container1 The container 1 container contains a folder named folder 1.
You need to query the top 100 rows of all the CSV files in folder 1.
How shouk1 you complete the query? 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:


NEW QUESTION # 138
......

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