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Data Engineering with MS Azure Synapse Apache Spark Pools Week 1 | Test prep Quiz Answers

Test prep Quiz Answers

Question 1)
Apache Spark pools in Azure Synapse Analytics benefit from which four of the following?

• Real-time co-authoring (both authors see the changes in real-time)
• Support for third party IDEs
• Autoscale
• REST APIs
• Pre-Loaded Anaconda libraries

Question 2)
Which one of the following resources should you create first when building an Apache Spark pool in Azure Synapse Analytics?

• A SQL Database
• A notebook
• A workspace

Question 3)
Which one of the following resources requires a unique Spark Pool name when creating an Apache Spark pool in Azure Synapse Analytics?

• Azure
• The resource group
• The workspace
• The subscription

Question 4)
You need to create an embedded Spark capability that can reside alongside, and integrate with, other Azure data warehouse and integration services. Which one of the following solutions can provide these functionalities?

• Apache Spark
• Azure HDInsight
• Azure Databricks
• Apache Spark for Azure Synapse

Question 5)
You can use the magic command %%spark to execute which one of the following types of query against a spark context?

• SparkSQL
• Python
• Scala
• .Net for C#

Question 6)
You are using IDE-style IntelliSense to assist with your code completion. Which two of the following languages does the IntelliSense support for Syntax Code Completion?

• Spark (Scala)
• SparkSQL
• PySpark (Python)
• .Net for Spark (C#)

Question 7)
You run a notebook in Apache Spark pool for the first time. How many minutes will it take for Azure Synapse Analytics to create a new session?

• 10 – 15 Minutes
• 30 – 60 Seconds
• 3 – 5 Minutes

Question 8)
What is a DataFrame?

• A data structure
• A csv file
• A parquet file

Question 9)
You need to load data from different file types into an Apache Spark DataFrame. Which four of the following Azure services can you load the data from?

• Serverless SQL Pool
• Dedicated SQL pool
• Primary Storage Account
• Azure Storage Account
• Azure Data Lake Store Generation 2

Question 10)
You need to optimize the Apache Spark Jobs in Azure Synapse Analytics. However, first you need to consider the cluster configuration for the workload you’re running on that cluster. Which one of the following resources can benefit from query optimization through Catalyst?

• Resilient Distributed DataSets (RDDs)
• Notebooks
• DataFrames