
DP-900 M4
Authored by Miguel Saavedra
Computers
Professional Development
Used 63+ times

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12 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
When should you use Azure Synapse Analytics?
To perform very complex queries and aggregations
To create dashboards from tabular data
To enable large number of users to query analytics data
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the purpose of data ingestion?
To perform complex data transformations over data received from external sources
To capture data flowing into a data warehouse system as quickly as possible
To visualize the results of data analysis
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the primary difference between a data lake and a data warehouse?
A data lake contains structured information, but a data warehouse holds raw business data
A data lake holds raw data, but a data warehouse holds structured information
Data stored in a data lake is dynamic, but information stored in a data warehouse is static
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which component of an Azure Data Factory can be triggered to run data ingestion tasks?
CSV File
Pipeline
Linked service
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
When might you use PolyBase?
To query data from external data sources from Azure Synapse Analytics
To ingest streaming data using Azure Databricks
To orchestrate activities in Azure Data Factory
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of these services can be used to ingest data into Azure Synapse Analytics?
Azure Data Factory
Power BI
Azure Active Directory
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
You have a large amount of data held in files in Azure Data Lake storage. You want to retrieve the data in these files and use it to populate tables held in Azure Synapse Analytics. Which processing option is most appropriate?
Use Azure Synapse Link to connect to Azure Data Lake storage and download the data
Synapse SQL pool
Synapse Spark pool
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