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Data Engineering on Microsoft Azure

Last Update Jan 21, 2025
Total Questions : 355 With Comprehensive Analysis

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Data Engineering on Microsoft Azure Questions and Answers

Questions 1

You are designing a statistical analysis solution that will use custom proprietary1 Python functions on near real-time data from Azure Event Hubs.

You need to recommend which Azure service to use to perform the statistical analysis. The solution must minimize latency.

What should you recommend?

Options:

A.

Azure Stream Analytics

B.

Azure SQL Database

C.

Azure Databricks

D.

Azure Synapse Analytics

Questions 2

You plan to use an Apache Spark pool in Azure Synapse Analytics to load data to an Azure Data Lake Storage Gen2 account.

You need to recommend which file format to use to store the data in the Data Lake Storage account. The solution must meet the following requirements:

• Column names and data types must be defined within the files loaded to the Data Lake Storage account.

• Data must be accessible by using queries from an Azure Synapse Analytics serverless SQL pool.

• Partition elimination must be supported without having to specify a specific partition.

What should you recommend?

Options:

A.

Delta Lake

B.

JSON

C.

CSV

D.

ORC

Questions 3

You are designing the folder structure for an Azure Data Lake Storage Gen2 container.

Users will query data by using a variety of services including Azure Databricks and Azure Synapse Analytics serverless SQL pools. The data will be secured by subject area. Most queries will include data from the current year or current month.

Which folder structure should you recommend to support fast queries and simplified folder security?

Options:

A.

/{SubjectArea}/{DataSource}/{DD}/{MM}/{YYYY}/{FileData}_{YYYY}_{MM}_{DD}.csv

B.

/{DD}/{MM}/{YYYY}/{SubjectArea}/{DataSource}/{FileData}_{YYYY}_{MM}_{DD}.csv

C.

/{YYYY}/{MM}/{DD}/{SubjectArea}/{DataSource}/{FileData}_{YYYY}_{MM}_{DD}.csv

D.

/{SubjectArea}/{DataSource}/{YYYY}/{MM}/{DD}/{FileData}_{YYYY}_{MM}_{DD}.csv

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