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.

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 4 of 15

Explore more Topics under Data Warehousing and OLAP

01

The Compelling Need for Data Warehousing

02

Building Blocks of Data Warehouse 🔒

03

Trends in Data Warehousing 🔒

04

Planning and Project Management 🔒

05

Defining the Business Requirements

06

Requirements as the Driving Force for Data warehousing 🔒

07

Architectural Components 🔒

08

Infrastructure as the Foundation for Data Warehousing 🔒

09

Role of Metadata in Data Warehousing 🔒

10

Principles of Dimensional Modeling

11

Advanced Topics in Dimensional Modeling 🔒

12

Importance of Data Quality

13

Matching Information to the Classes of Users

14

OLAP in the Data Warehouse 🔒

15

Data Warehousing and the Web 🔒

16

Data Mining Basics 🔒

17

The Physical Design Process 🔒

18

Data Warehouse Deployment 🔒

19

Growth and Maintenance

20

Important Terms and Definitions

Q31.

What is a disadvantage of using capture through database triggers for data extraction?

Low impact on source systems

Reliability concerns

Suitable for non-database applications

Reduced development effort

Discuss

Answer: (b).Reliability concerns Explanation:While capture through database triggers is reliable, it can put an additional burden on the development effort.

Q32.

Which data extraction method is applicable to all types of source data, including databases, indexed files, and flat files?

Data replication

Capture through database triggers

Capture through Transaction Logs

Capture in source applications

Discuss

Answer: (d).Capture in source applications Explanation:Capture in source applications can be used for all types of source data and does not depend on the source format.

Q33.

Deferred data extraction techniques differ from immediate extraction techniques in that they:

Capture data in real-time

Capture data after a certain date and time stamp

Compare source data snapshots

Use database triggers for extraction

Discuss

Answer: (c).Compare source data snapshots Explanation:Deferred data extraction techniques capture changes by comparing source data snapshots at a later time.

Q34.

Which technique is based on date and time stamps to capture source records for extraction?

Capture by Comparing Files

Capture through Transaction Logs

Capture by Date and Time Stamp

Capture in Source Applications

Discuss

Answer: (c).Capture by Date and Time Stamp Explanation:The technique based on date and time stamps captures source records based on their date and time stamps for later extraction.

Q35.

What is a limitation of the Capture by Comparing Files technique?

Inefficiency when comparing large files

Real-time data capture

Suitable for legacy data sources

Efficient for tracking deleted records

Discuss

Answer: (a).Inefficiency when comparing large files Explanation:The Capture by Comparing Files technique may be inefficient when comparing large files.

Q36.

How does the Capture by Date and Time Stamp technique handle deleted source records?

It captures information about deleted records

It physically deletes source records first

It uses transaction logs for deletes

It doesn't handle deleted records

Discuss

Answer: (b).It physically deletes source records first Explanation:The Capture by Date and Time Stamp technique handles deleted source records by marking them for delete first, performing the extraction run, and then physically deleting the record.

Q37.

Which deferred data extraction technique may be considered a last resort for legacy data sources?

Capture through Transaction Logs

Capture by Comparing Files

Capture by Date and Time Stamp

Capture in Source Applications

Discuss

Answer: (b).Capture by Comparing Files Explanation:Capture by Comparing Files is considered a last resort when other techniques are not feasible, especially for legacy data sources.

Q38.

What is the primary reason for using the static data capture technique when populating a data warehouse initially?

It is the most efficient technique.

It captures real-time data changes.

It is necessary for capturing historical data.

It involves no additional overhead on source systems.

Discuss

Answer: (c).It is necessary for capturing historical data. Explanation:Static data capture is used during the initial population of a data warehouse to capture historical data.

Q39.

Which technique is considered the most inexpensive for data extraction in terms of cost and overhead on source systems?

Capture through Database Triggers

Capture in Source Applications

Capture through Transaction Logs

Capture by Comparing Files

Discuss

Answer: (c).Capture through Transaction Logs Explanation:Capture through Transaction Logs is often the most inexpensive technique for data extraction and involves minimal overhead on source systems.

Q40.

In terms of performance impact on source operational systems, which techniques have the least impact?

Capture through Transaction Logs and Capture through Database Triggers

Capture in Source Applications

Capture based on Date and Time Stamp and Capture by Comparing Files

Static data capture

Discuss

Answer: (a).Capture through Transaction Logs and Capture through Database Triggers Explanation:Capture through Transaction Logs and Capture through Database Triggers have the least impact on source operational systems in terms of performance.

Page 4 of 15

Building Blocks of Data Warehouse 🔒

Trends in Data Warehousing 🔒

Planning and Project Management 🔒

Requirements as the Driving Force for Data warehousing 🔒

Architectural Components 🔒

Infrastructure as the Foundation for Data Warehousing 🔒

Role of Metadata in Data Warehousing 🔒

Advanced Topics in Dimensional Modeling 🔒

OLAP in the Data Warehouse 🔒

Data Warehousing and the Web 🔒

Data Mining Basics 🔒

The Physical Design Process 🔒

Data Warehouse Deployment 🔒

Welcome to the Data Extraction,Transformation and Loading MCQs Page

Data Extraction,Transformation and Loading MCQs | Page 4 of 15

Explore more Topics under Data Warehousing and OLAP

The Compelling Need for Data Warehousing

Defining the Business Requirements

Principles of Dimensional Modeling

Importance of Data Quality

Matching Information to the Classes of Users

Growth and Maintenance

Important Terms and Definitions

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