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Welcome to the Data Extraction,Transformation and Loading MCQs Page

Dive deep into the fascinating world of Data Extraction,Transformation and Loading with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Extraction,Transformation and Loading, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Extraction,Transformation and Loading, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Warehousing and OLAP.

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Check out the MCQs below to embark on an enriching journey through Data Extraction,Transformation and Loading. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Extraction,Transformation and Loading. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Extraction,Transformation and Loading MCQs | Page 5 of 15

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Q41.
Which technique is recommended as the preferred option for dealing with transient source data while minimizing the impact on operational systems?

a.

Capture by Comparing Files

b.

Capture in Source Applications

c.

Capture through Transaction Logs

d.

Capture through Database Triggers

Discuss
Answer: (c).Capture through Transaction Logs Explanation:Capture through Transaction Logs is recommended as a preferred option for dealing with transient source data while minimizing the impact on operational systems.
Q42.
When should the file comparison method for data extraction be used?

a.

Always, as it is the most accurate technique.

b.

Only when dealing with legacy data sources.

c.

When minimizing impact on operational systems is not a concern.

d.

As the first choice for capturing data changes.

Discuss
Answer: (b).Only when dealing with legacy data sources. Explanation:The file comparison method for data extraction should be used when dealing with legacy data sources or when other techniques cannot be applied.
Q43.
What is the underlying principle of a data warehouse?

a.

To extract raw data

b.

To improve data quality

c.

To make data usable for strategic decision making

d.

To classify data transformations

Discuss
Answer: (c).To make data usable for strategic decision making Explanation:The underlying principle of a data warehouse is to make data usable for strategic decision making.
Q44.
Why is operational data not directly usable for strategic decision making in a data warehouse?

a.

It comes from many old legacy systems

b.

It is classified as complex data

c.

It lacks data integration

d.

It doesn't contain valuable information

Discuss
Answer: (a).It comes from many old legacy systems Explanation:Operational data is not directly usable for a data warehouse because it comes from many old legacy systems, and the data quality may not be sufficient.
Q45.
What is one of the key challenges in data transformation when moving data to a data warehouse?

a.

Maintaining data in its raw form

b.

Ensuring data quality is irrelevant

c.

Handling data from dissimilar source systems

d.

Following business rules without any changes

Discuss
Answer: (c).Handling data from dissimilar source systems Explanation:One of the key challenges in data transformation is handling data from dissimilar source systems.
Q46.
What does data transformation in the context of a data warehouse involve?

a.

Converting all data into raw information

b.

Filling in missing data values

c.

Ensuring data quality is perfect

d.

Keeping data in its original format

Discuss
Answer: (b).Filling in missing data values Explanation:Data transformation in the context of a data warehouse involves filling in missing data values and making data usable.
Q47.
Why is it essential to consider data transformation functions seriously?

a.

Data transformation is not a critical part of the data warehousing process

b.

It only involves field conversions

c.

The source data is always perfect

d.

Extent and complexity can be underestimated

Discuss
Answer: (d).Extent and complexity can be underestimated Explanation:It is essential to consider data transformation functions seriously because the extent and complexity of these functions can be underestimated.
Q48.
What is the main focus of data transformation in a data warehouse?

a.

Making source data compatible with source systems

b.

Preprocessing source data

c.

Mapping source fields to target fields

d.

Improving data quality

Discuss
Answer: (d).Improving data quality Explanation:The main focus of data transformation in a data warehouse is improving data quality.
Q49.
What is the first basic task in data transformation?

a.

Splitting

b.

Summarization

c.

Enrichment

d.

Selection

Discuss
Answer: (d).Selection Explanation:The first basic task in data transformation is selection, where you choose whole records or parts of several records from the source systems.
Q50.
When might you need to perform the selection task during data transformation?

a.

Always, as it is a standard practice

b.

When the source structure doesn't allow selection during data extraction

c.

Only if the source data is in perfect format

d.

When you want to extract the whole record

Discuss
Answer: (b).When the source structure doesn't allow selection during data extraction Explanation:The selection task may need to be performed during data transformation when the source structure doesn't allow selection during data extraction.
Page 5 of 15

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