(D305) ITCL 3102 Azure Data Engineer - Latest O(D305) ITCL 3102 Azure Data Engineer - Latest OA Review Q & S 2024(D305) ITCL 3102 Azure Data Engineer - Latest OA Review Q & S 2024(D305) ITCL 3102 Azure Data Engineer - Latest OA Review Q & S 2024A Review Q & S 2024
,1. Multiple Choice: What Azure service would you use for real-
time analytics of streaming data?
a) Azure SQL Database
b) Azure Synapse Analytics
c) Azure Cosmos DB
d) Azure Stream Analytics
Correct Answer: d) Azure Stream Analytics
Rationale: Azure Stream Analytics is the service specifically
designed for real-time analytics on fast-moving streams of data
from sources such as devices, sensors, websites, social media,
applications, and more.
2. Fill-in-the-Blank: The ________ feature in Azure Data Factory
allows for data transformation at scale.
Correct Answer: Data Flow
Rationale: Data Flow in Azure Data Factory enables data
transformation at scale by allowing users to create data-driven
workflows for orchestrating and automating data movement and
data transformation.
, Rationale: Azure Data Lake Storage is designed to store large
amounts of non-relational data, such as big data and analytics
workloads, not specifically relational data.
4. Multiple Response: Which of the following are types of data
processing that can be performed in Azure Databricks? (Select all
that apply)
a) Batch processing
b) Stream processing
c) Predictive analytics
d) OLTP
Correct Answers: a) Batch processing, b) Stream processing, c)
Predictive analytics
Rationale: Azure Databricks supports various data processing
types, including batch and stream processing, as well as predictive
analytics. OLTP (Online Transaction Processing) is not typically
performed in Azure Databricks.
, Correct Answer: a) Azure Functions
Rationale: Azure Functions offers a serverless compute
experience, allowing developers to run event-triggered code
without having to explicitly provision or manage infrastructure.
6. Fill-in-the-Blank: To automate data movement in Azure, one
should use ________.
Correct Answer: Azure Data Factory
Rationale: Azure Data Factory is a cloud-based data integration
service that allows you to create data-driven workflows for
orchestrating and automating data movement and data
transformation.
7. True/False: Azure HDInsight is a cloud service that makes it
easy to process massive amounts of data with Hadoop and Spark
frameworks.
Correct Answer: True
Rationale: Azure HDInsight is a fully-managed cloud service
that simplifies, makes it more cost-effective, and more scalable to
process massive amounts of data using popular open-source
frameworks such as Hadoop and Spark.
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