MCQs

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Overall MCQs for Reference

Which step in ELT is responsible for gathering data from source systems?
a. Load
b. Transform
c. Extract
d. Analyze
Answer: c. Extractaltexsoft+2
What is the main feature that distinguishes ELT from ETL?
a. Data is transformed before loading
b. Data is extracted only from structured sources
c. Transformation occurs after loading
d. Only unstructured data is handled
Answer: c. Transformation occurs after loadingdatacamp+2
In ELT, where is the transformation process typically performed?
a. Source system
b. Data warehouse
c. Client machine
d. Network gateway
Answer: b. Data warehouseaws.amazon+2
Which tool is commonly used for writing custom ELT scripts?
a. Python
b. Excel
c. JavaScript
d. C#
Answer: a. Pythondatacamp
What type of data can ELT handle efficiently?
a. Only structured data
b. Only semi-structured data
c. Unstructured, semi-structured, and structured data
d. Only unstructured data
Answer: c. Unstructured, semi-structured, and structured datageeksforgeeks+1
Why is ELT considered scalable in cloud environments?
a. It uses multiple dedicated servers for transformation
b. It leverages the computational power of cloud warehouses
c. It avoids all transformation processes
d. It only deals with small datasets
Answer: b. It leverages the computational power of cloud warehousesgetdbt
Which of the following is NOT a typical source for ELT extraction?
a. API endpoint
b. Relational database
c. Flat file
d. Spreadsheet chart
Answer: d. Spreadsheet chartaltexsoft+1
In ELT, after extraction, where is raw data loaded?
a. External server
b. Client system
c. Centralized data platform (warehouse or lake)
d. Directly to analytics tools
Answer: c. Centralized data platform (warehouse or lake)getdbt+1
What is the primary advantage of loading raw data into a warehouse before transforming?
a. Reduced analytics capability
b. Increased flexibility for data transformation
c. Lower security
d. Slower data access
Answer: b. Increased flexibility for data transformationaws.amazon+1
Which phase of ELT involves cleaning, aggregating, and structuring the data?
a. Extract
b. Load
c. Analyze
d. Transform
Answer: d. Transformcelerdata+1
What type of business would benefit most from ELT processes?
a. Businesses dealing only with spreadsheets
b. Cloud-native businesses with large, diverse datasets
c. Local retailers with small databases
d. None of the above
Answer: b. Cloud-native businesses with large, diverse datasetsgetdbt
What is an example of a modern ELT destination?
a. Google BigQuery
b. Adobe Photoshop
c. MS Word
d. Excel Online
Answer: a. Google BigQuerycelerdata+1
Which ELT stage may involve using SQL queries?
a. Extract
b. Load
c. Transform
d. All of the above
Answer: a. Extractaltexsoft
ELT makes it easier to iterate on transformation logic because:
a. Raw data can be re-transformed multiple times
b. Extraction must be repeated
c. Loading is never performed
d. Only one transformation attempt is allowed
Answer: a. Raw data can be re-transformed multiple timesgetdbt
What security feature is often built into ELT-capable cloud data warehouses?
a. Password-only authentication
b. Granular access control and multifactor authentication
c. Guest access by default
d. No security measures
Answer: b. Granular access control and multifactor authenticationaws.amazon
Which step enables organizations to quickly adapt to changing business needs using ELT?
a. Extract
b. Load
c. Transform
d. All of the above
Answer: d. All of the abovecelerdata+1
What does the “extract” phase of ELT NOT involve?
a. Collecting data from diverse sources
b. Removing duplicates
c. Using web scraping
d. Running SQL queries
Answer: b. Removing duplicatesdatacamp+2
Which is a key benefit of ELT for large-scale data analysis?
a. Data must be transformed before storage
b. Native scalability for big data solutions
c. Incompatibility with data lakes
d. Slower performance
Answer: b. Native scalability for big data solutionsgeeksforgeeks+1
What is the purpose of the ‘load’ stage in ELT?
a. Sending data to third-party vendors
b. Organizing and storing raw data centrally
c. Running business intelligence queries
d. Automatic data transformation
Answer: b. Organizing and storing raw data centrallydatacamp+1
What is incremental extraction in ELT?
a. Extracting all records repeatedly
b. Extracting only modified records since last run
c. Ignoring new records
d. Transforming before loading
Answer: b. Extracting only modified records since last runaltexsoft
Why can ELT deliver real-time or near real-time analytics?
a. It skips transformation processes
b. Uses parallelization in cloud data warehouses
c. Limits extraction to once per day
d. Only structured data allowed
Answer: b. Uses parallelization in cloud data warehousesaws.amazon+1
What is a typical transformation action in ELT?
a. Data backup
b. Data cleaning
c. Software debugging
d. Firewall configuration
Answer: b. Data cleaningdatacamp
When is data filtering typically performed in ELT?
a. During extraction
b. After loading into the warehouse
c. Before extraction
d. At the endpoint
Answer: b. After loading into the warehousecelerdata+1
In which phase of ELT might you remove duplicate records?
a. Extract
b. Load
c. Transform
d. Analyze
Answer: c. Transformcelerdata
What is full extraction in ELT?
a. Pulling a few records for testing
b. Extracting all available data from a source
c. Transforming data before loading
d. Creating summary tables
Answer: b. Extracting all available data from a sourcealtexsoft
What makes ELT preferable for modern unstructured sources?
a. Requires static schema
b. Loads varied data formats for later transformation
c. Only handles relational tables
d. Restricts data size
Answer: b. Loads varied data formats for later transformationgeeksforgeeks+1
What is a common outcome of the transform phase in ELT?
a. Actionable insights for reporting and decision-making
b. Unusable data pollution
c. Loss of source records
d. Data corruption
Answer: a. Actionable insights for reporting and decision-makingcelerdata
Which is NOT typical of the ELT transform stage?
a. Standardizing formats
b. Creating new metrics
c. Loading raw data to warehouse
d. Removing duplicates
Answer: c. Loading raw data to warehousecelerdata
Who is typically responsible for loading data in ELT?
a. Marketing analyst
b. Data engineer
c. IT helpdesk
d. Graphic designer
Answer: b. Data engineergetdbt+1
Which data source is best suited for ELT extraction?
a. Only CSV files
b. Any database, API, or business application
c. Hardware sensors only
d. Only manual entry systems
Answer: b. Any database, API, or business applicationgetdbt
What is a major difference between ETL and ELT in handling transformation?
a. ETL transforms data before loading, ELT after loading
b. ETL never transforms, ELT always does
c. Both transform after loading
d. ELT cannot transform data
Answer: a. ETL transforms data before loading, ELT after loadinggeeksforgeeks+2
Why might companies choose ELT over ETL for regulatory reasons?
a. ELT offers better compliance with integrated security controls
b. ELT has fewer privacy features
c. ETL is always the regulatory preference
d. ELT requires manual compliance setup
Answer: a. ELT offers better compliance with integrated security controlsaws.amazon
What is one limitation of ELT compared to traditional ETL?
a. Less documentation and maturity in tools
b. Slower extraction processes
c. Transformation is impossible
d. Limited to on-premises platforms
Answer: a. Less documentation and maturity in toolsgeeksforgeeks
ELT is most compatible with which type of storage platform?
a. Local spreadsheets
b. Data lakes
c. Pen drives
d. Personal computers only
Answer: b. Data lakesgeeksforgeeks
During which ELT stage would you aggregate data for analysis?
a. Extract
b. Load
c. Transform
d. Archive
Answer: c. Transformdatacamp+1
What is the function of an ELT pipeline?
a. Automates extraction, loading, and transformation
b. Automatically deletes source data
c. Prevents any transformation from occurring
d. Only loads data to external vendors
Answer: a. Automates extraction, loading, and transformationdatacamp+1
Which open-source tool supports ELT data extraction?
a. Airbyte
b. PowerPoint
c. WordPress
d. QuickBooks
Answer: a. Airbytedatacamp
What does the ELT workflow enable organizations to always maintain?
a. Access to raw, untransformed source data
b. Only transformed data with original lost
c. End-user only access
d. No data backups
Answer: a. Access to raw, untransformed source datagetdbt
Which stage in ELT may utilize SaaS (Software as a Service) applications?
a. Extract
b. Load
c. Transform
d. All of the above
Answer: d. All of the abovegetdbt
What is the role of data warehouse compute in ELT?
a. To transform data efficiently after loading
b. To block data access to users
c. To only extract external data
d. To provide visualization tools
Answer: a. To transform data efficiently after loadingdatacamp+1
ELT is ideally suited for which analytic requirement?
a. Real-time dashboard analytics
b. Printing paper reports
c. Designing web graphics
d. Uploading videos
Answer: a. Real-time dashboard analyticsaws.amazon+1
Which phase does NOT occur first in ELT?
a. Extract
b. Transform
c. Load
d. None of the above
Answer: b. Transformgeeksforgeeks+2
What is partial extraction in ELT?
a. Pulling some data with update notifications
b. Always pulling full data sets
c. Ignoring new records
d. Transforming data before extracting
Answer: a. Pulling some data with update notificationsaltexsoft
Which cloud platform is frequently used for ELT data storage?
a. Amazon Redshift
b. Adobe Cloud
c. Twitter
d. LinkedIn
Answer: a. Amazon Redshiftcelerdata+1
What business metric is often calculated in the ELT transform stage?
a. Monthly revenue
b. Server uptime
c. Product manufacture date
d. Social media follower count
Answer: a. Monthly revenuecelerdata
Which process is simplified by performing ELT entirely in the destination warehouse?
a. Data pipeline management
b. Manual record keeping
c. Extracting printed files
d. Local desktop backup
Answer: a. Data pipeline managementcelerdata
What makes ELT pipelines more adaptable for evolving business analytics?
a. Ability to transform data flexibly, post-loading
b. Fixed schema with no transformation options
c. Permanent data locking
d. Elimination of extraction needs
Answer: a. Ability to transform data flexibly, post-loadinggetdbt+1
Which security feature is often automated in ELT-enabled data warehouses?
a. Data masking and access control
b. Social media integration
c. Color correction
d. Reward points distribution
Answer: a. Data masking and access controlaws.amazon
What is a critical prerequisite for leveraging ELT in a machine learning pipeline?
a. Centralized data storage solution with transformation capability
b. No transformation requirements ever
c. Manual conversion of records to images
d. Paper-based record extraction
Answer: a. Centralized data storage solution with transformation capabilitydatacamp+2
What is a key outcome of the ELT transformation step for machine learning?
a. Prepared, cleaned data ready for modeling
b. Randomized unstructured logs
c. Duplicate error records
d. Incomplete data sets
Answer: a. Prepared, cleaned data ready for modelingcelerdata

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