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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
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Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
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Sample questions from the Monitor and Optimize Data Storage and Data Processing section

This section contains sample questions from the monitoring and optimization section of the syllabus. Let's start with a Blob storage monitoring question.

Blob storage monitoring

You have been hired as an external consultant to evaluate Azure Blob storage. Your team has been using Blob storage for a month now. You want to find the usage and availability of the Blob storage.

Question 1:

You can find the Blob storage usage from the Storage Metrics tab.

[Options: Yes/No]

Question 2:

You can find the Blob availability metrics from the Storage Metrics tab.

[Options: Yes/No]

Question 3:

You can find the Blob availability metrics from the Azure Monitor -> Storage Accounts –> Insights tab.

[Options: Yes/No]

Solution

  1. Question 1: Yes
  2. Question 2: No
  3. Question 3: Yes

Explanation

You can find the Blob storage usage from the Metrics...

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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex