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DP-203 Practice Questions

Question # 1

You have an on-premises data warehouse that includes the following fact tables. Both tables have the following columns: DateKey, ProductKey, RegionKey. There are 120 unique product keys and 65 unique region keys.




Question # 2

You have an Azure subscription that contains a logical Microsoft SQL server named
Server1. Server1 hosts an Azure Synapse Analytics SQL dedicated pool named Pool1.
You need to recommend a Transparent Data Encryption (TDE) solution for Server1. The
solution must meet the following requirements:
Track the usage of encryption keys.
Maintain the access of client apps to Pool1 in the event of an Azure datacenter
outage that affects the availability of the encryption keys.
What should you include in the recommendation? To answer, select the appropriate
options in the answer area.
NOTE: Each correct selection is worth one point.



Question # 3

You plan to ingest streaming social media data by using Azure Stream Analytics. The data
will be stored in files in Azure Data Lake Storage, and then consumed by using Azure
Datiabricks and PolyBase in Azure Synapse Analytics.
You need to recommend a Stream Analytics data output format to ensure that the queries
from Databricks and PolyBase against the files encounter the fewest possible errors. The
solution must ensure that the tiles can be queried quickly and that the data type information
is retained.
What should you recommend?

A.

Parquet

B.

Avro

C.

CSV

D.

JSON



B.

Avro


Explanation: The Avro format is great for data and message preservation.Avro schema
with its support for evolution is essential for making the data robust for streaming
architectures like Kafka, and with the metadata that schema provides, you can reason on
the data. Having a schema provides robustness in providing meta-data about the data
stored in Avro records which are self- documenting the
data.References:http://cloudurable.com/blog/avro/index.html



Question # 4

You have an Azure event hub named retailhub that has 16 partitions. Transactions are
posted to retailhub. Each transaction includes the transaction ID, the individual line items,
and the payment details. The transaction ID is used as the partition key.
You are designing an Azure Stream Analytics job to identify potentially fraudulent
transactions at a retail store. The job will use retailhub as the input. The job will output the
transaction ID, the individual line items, the payment details, a fraud score, and a fraud
indicator.
You plan to send the output to an Azure event hub named fraudhub.
You need to ensure that the fraud detection solution is highly scalable and processes
transactions as quickly as possible.
How should you structure the output of the Stream Analytics job? To answer, select the
appropriate options in the answer area.
NOTE: Each correct selection is worth one point



Question # 5

You need to implement an Azure Synapse Analytics database object for storing the sales
transactions data. The solution must meet the sales transaction dataset requirements.
What solution must meet the sales transaction dataset requirements.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.



Question # 6

You have an Azure Synapse Analytics SQL pool named Pool1 on a logical Microsoft SQL server named Server1.
You need to implement Transparent Data Encryption (TDE) on Pool1 by using a custom key named key1.Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.



Question # 7

You have several Azure Data Factory pipelines that contain a mix of the following types of
activities.
* Wrangling data flow
* Notebook
* Copy
* jar
Which two Azure services should you use to debug the activities? Each correct answer
presents part of the solution NOTE: Each correct selection is worth one point.

A.

Azure HDInsight

B.

Azure Databricks

C.

Azure Machine Learning

D.

Azure Data Factory

E.

Azure Synapse Analytics



C.

Azure Machine Learning


E.

Azure Synapse Analytics




Question # 8

You have an enterprise data warehouse in Azure Synapse Analytics named DW1 on a server named Server1. You need to verify whether the size of the transaction log file for each distribution of DW1 is smaller than 160 GB.
What should you do?

A.

On the master database, execute a query against the
sys.dm_pdw_nodes_os_performance_counters dynamic management view.

B.

From Azure Monitor in the Azure portal, execute a query against the logs of DW1.

C.

On DW1, execute a query against the sys.database_files dynamic management view.

D.

Execute a query against the logs of DW1 by using the
Get-AzOperationalInsightSearchResult PowerShell cmdlet



A.

On the master database, execute a query against the
sys.dm_pdw_nodes_os_performance_counters dynamic management view.


Explanation:
The following query returns the transaction log size on each distribution. If one of the log
files is reaching 160 GB, you should consider scaling up your instance or limiting your
transaction size.
- Transaction log size
SELECT
instance_name as distribution_db,
cntr_value*1.0/1048576 as log_file_size_used_GB,
pdw_node_id
FROM sys.dm_pdw_nodes_os_performance_counters
WHERE
instance_name like 'Distribution_%'
AND counter_name = 'Log File(s) Used Size (KB)'
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-managemonitor



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Microsoft DP-203 Exam Dumps

Exam Name: Data Engineering on Microsoft Azure
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  • Total Questions: 341
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