,1. What is the first step in planning an analytics solution
using Microsoft Fabric?
a) Identifying data sources
b) Defining business objectives
c) Choosing an analytics model
d) Setting up the development environment
Correct Answer: b) Defining business objectives
2. Which component of Microsoft Fabric is primarily
responsible for data ingestion?
a) Azure Data Lake
b) Azure Stream Analytics
c) Azure Data Factory
d) Azure Synapse Analytics
Correct Answer: c) Azure Data Factory
3. When implementing a real-time analytics solution, which
feature of Microsoft Fabric is most critical?
a) Data storage scalability
b) Stream processing capabilities
c) Batch processing intervals
d) Data warehousing
Correct Answer: b) Stream processing capabilities
4. In the context of Microsoft Fabric, what does 'data
lineage' refer to?
a) The process of data migration
b) The history of data transformations
c) The backup and recovery process
d) The data distribution strategy
Correct Answer: b) The history of data transformations
, 5. How does Microsoft Fabric ensure data quality during the
implementation phase?
a) Through data profiling and cleansing
b) By enforcing strict access controls
c) By using redundant storage
d) Through real-time monitoring
Correct Answer: a) Through data profiling and cleansing
6. What is the primary benefit of using Azure Synapse
Analytics within Microsoft Fabric?
a) It provides a serverless compute option.
b) It offers a no-code development environment.
c) It allows for seamless integration with other Azure
services.
d) It supports both batch and stream processing.
Correct Answer: d) It supports both batch and stream
processing.
7. Which of the following is a key consideration when
managing a data analytics solution in Microsoft Fabric?
a) Ensuring data consistency across different regions
b) Regularly updating the analytics algorithms
c) Maintaining a fixed schema for data sources
d) Balancing compute power with storage costs
Correct Answer: d) Balancing compute power with
storage costs
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