MCQs

Disclaimer:

Educational Use Only:

The website links provided are to be used strictly for educational and knowledge-gaining purposes only.

No Misuse:

Do not misuse the links or the information contained therein for any commercial, illegal, or unethical activities.

Respect for Websites and Businesses:

Respect the intellectual property and business interests of the websites and their owners. Do not attempt to alter, copy, or redistribute content without proper authorization.

Acknowledge Value of Knowledge:

Recognize and value the knowledge and resources shared by these websites. Use the information responsibly and ethically.

No Endorsement:

The provision of these links does not imply endorsement of the linked sites, their content, or their products and services. Users are responsible for evaluating the suitability and accuracy of the information.

User Responsibility:

By accessing these links, you agree to use the information at your own risk and to comply with all applicable laws and website terms of use.

Overall MCQs for Reference

The primary goal of query optimization in artificial intelligence is to:
a. Increase query complexity
b. Minimize execution cost
c. Maximize data redundancy
d. Slow down response time
Answer: b. Minimize execution costexploredatabase+1
Which technique analyzes multiple execution plans and selects the one with the lowest resource consumption?
a. Rule-based optimization
b. Cost-based optimization
c. Random selection
d. Index-free execution
Answer: b. Cost-based optimizationacceldata+1
What is the main advantage of using indexes during query optimization?
a. Increase storage utilization
b. Speed up data retrieval
c. Reduce system security
d. Create unnecessary joins
Answer: b. Speed up data retrievallockedinai+2
Which method uses practical guidelines or “rules of thumb” in query optimization?
a. Heuristic-based optimization
b. Cost-based optimization
c. Machine learning optimization
d. Neural optimization
Answer: a. Heuristic-based optimizationacceldata
Adaptive query execution mainly helps in:
a. Ignoring execution plans
b. Refining plans during runtime
c. Adding unnecessary predicates
d. Fixing data types
Answer: b. Refining plans during runtimeacceldata
The activity of selecting the most efficient query plan is called:
a. Query parsing
b. Query optimization
c. Query execution
d. Query validation
Answer: b. Query optimizationmcqslearn+1
Which AI technique is widely used for enhancing real-time query optimization?
a. Clustering
b. Reinforcement learning
c. Association rule mining
d. Regression
Answer: b. Reinforcement learningeverant
What does dynamic query re-optimization allow?
a. Static plan usage
b. Ignoring data changes
c. Plan adjustment based on changing workloads
d. Deleting indexes automatically
Answer: c. Plan adjustment based on changing workloadseverant+1
Which of the following does NOT improve query performance?
a. Proper indexing
b. Redundant joins
c. Simplifying queries
d. Using query execution plans
Answer: b. Redundant joinsupesonline+2
In database systems, what is the main benefit of query rewriting?
a. Increase execution time
b. Replace correlated subqueries for better performance
c. Increase data redundancy
d. Disable join operations
Answer: b. Replace correlated subqueries for better performancelockedinai
What role does statistics play in query optimization?
a. Ignored by optimizers
b. Help estimate data distribution and resource usage
c. Only useful for security
d. Used to delete rows
Answer: b. Help estimate data distribution and resource usagelockedinai+1
Which of the following is a feature of rule-based optimization?
a. Considers cost of execution
b. Relies on predetermined rules
c. Automatically updates statistics
d. Always selects the fastest path
Answer: b. Relies on predetermined rulesacceldata
Covering indexes are used in query optimization to:
a. Reduce memory usage
b. Eliminate network traffic
c. Speed up SELECT queries on specific columns
d. Increase normalization
Answer: c. Speed up SELECT queries on specific columnslockedinai
Machine learning enhances query optimization by:
a. Predicting optimal execution paths based on historical data
b. Disabling indexing
c. Increasing scan times
d. Randomizing query order
Answer: a. Predicting optimal execution paths based on historical dataeverant+1
Which is NOT a common query optimization strategy?
a. Index creation
b. Using outdated execution plans
c. Query rewriting
d. Partitioning large tables
Answer: b. Using outdated execution planslockedinai
Query optimizers choose a plan by analyzing:
a. Only the syntax
b. All possible execution paths
c. Table color schemes
d. Backup schedules
Answer: b. All possible execution pathsgeeksforgeeks+1
In cost-based optimization, which parameter is minimized?
a. Resource cost
b. Query plan length
c. Data type usage
d. Trigger count
Answer: a. Resource costacceldata
Heuristic-based optimizations avoid:
a. Using clustered indexes
b. Cross joins when possible
c. Caching results
d. Dynamic memory allocation
Answer: b. Cross joins when possibleacceldata
Which SQL command helps view the execution plan of a query?
a. EXPLAIN
b. UPDATE
c. REVOKE
d. TRUNCATE
Answer: a. EXPLAINsanfoundry
What is the impact of outdated statistics on query optimization?
a. No impact
b. Leads to inefficient query plans
c. Increases join performance
d. Simplifies queries
Answer: b. Leads to inefficient query planslockedinai+1
The acronym CTE in SQL stands for:
a. Complex Table Extraction
b. Common Table Expression
c. Custom Table Evaluation
d. Centralized Transaction Engine
Answer: b. Common Table Expressionscribd
Indexing benefits query optimization by:
a. Slowing down insertion
b. Reducing query response time
c. Storing duplicate data
d. Ignoring WHERE clauses
Answer: b. Reducing query response timethoughtspot+2
“Dynamic query re-optimization” mainly refers to:
a. Hardcoded plan use
b. Plan changes during execution
c. Schema locking
d. Increased query parsing
Answer: b. Plan changes during executionacceldata
Which is a sign of a badly optimized query?
a. Short response time
b. Multiple index scans when one would suffice
c. Efficient resource utilization
d. Consistent plan reuse
Answer: b. Multiple index scans when one would sufficeupesonline+1
Query optimization can use deep learning for:
a. Anomaly detection and integrity checking
b. Disabling transaction logs
c. Eliminating WHERE clauses
d. Minimizing index usage
Answer: a. Anomaly detection and integrity checkingeverant
An efficient query plan is one that:
a. Uses the most expensive computational resources
b. Minimizes performance costs
c. Requires manual execution
d. Only retrieves one record
Answer: b. Minimizes performance costsexploredatabase+1
SQL’s GROUP BY can improve performance by:
a. Causing redundant aggregations
b. Supporting efficient aggregation
c. Deleting non-grouped records
d. Duplicating data
Answer: b. Supporting efficient aggregationgeeksforgeeks
When should partitioning be considered in query optimization?
a. For small lookup tables only
b. For large tables with date ranges
c. For temporary tables only
d. For triggers
Answer: b. For large tables with date rangesthoughtspot+1
Which strategy minimizes unnecessary data retrieval?
a. Using SELECT *
b. Limiting columns and rows to only what’s needed
c. Ignoring WHERE clause
d. Avoiding indexes
Answer: b. Limiting columns and rows to only what’s neededthoughtspot+1
Query Optimizer in databases selects an execution plan based on:
a. Query structure alone
b. Statistics, indexes, and resource costs
c. Database version
d. User profile
Answer: b. Statistics, indexes, and resource costseverant+1
What helps speed up repeated analytical queries?
a. Creating temporary indexes
b. Materialized views
c. Removing foreign keys
d. Ignoring aggregation
Answer: b. Materialized viewsscribd
Which is a core benefit of pre-aggregating data?
a. Increased memory usage
b. Reduced query load at runtime
c. More complex schema
d. Slower updates
Answer: b. Reduced query load at runtimegeeksforgeeks
Which clause often prevents use of indexing?
a. WHERE
b. GROUP BY
c. NOT LIKE with wildcards at the start
d. ORDER BY
Answer: c. NOT LIKE with wildcards at the startthoughtspot
What does EXPLAIN PLAN provide during optimization?
a. The query’s possible execution stages and their cost
b. Data modification scripts
c. Encryption details
d. Aggregated results only
Answer: a. The query’s possible execution stages and their costsanfoundry
Reinforcement learning in query optimization adapts by:
a. Static plan use
b. Learning from past performance
c. Ignoring runtime feedback
d. Adding redundant joins
Answer: b. Learning from past performanceeverant
Using temporary tables in query optimization can:
a. Simplify complex queries in stages
b. Remove primary keys
c. Increase data duplication
d. Ignore execution order
Answer: a. Simplify complex queries in stagesgeeksforgeeks
A covering index is effective when:
a. All needed columns are covered by the index
b. Only one row is queried
c. Aggregation is avoided
d. Subqueries are always used
Answer: a. All needed columns are covered by the indexlockedinai
Which of the following is most efficient for checking if at least one record exists?
a. SELECT COUNT(*)
b. EXISTS
c. GROUP BY
d. JOIN
Answer: b. EXISTSscribd
What is the effect of overusing DISTINCT in queries?
a. Speeds up performance
b. Causes extra sorting and duplicate elimination
c. No impact
d. Reduces table size
Answer: b. Causes extra sorting and duplicate eliminationthoughtspot+1
Which plan transformation is performed after query translation?
a. Data hiding
b. Query-optimizing transformation
c. Trigger generation
d. Partition disabling
Answer: b. Query-optimizing transformationincludehelp
What is a benefit of normalizing data for query optimization?
a. Slower retrieval
b. Reduces data redundancy and improves consistency
c. No effect on optimization
d. Always increases joins
Answer: b. Reduces data redundancy and improves consistencyupesonline
What can hinder query optimizer effectiveness?
a. Accurate and updated statistics
b. Lack of relevant indexes
c. Proper JOIN usage
d. Appropriate partitioning
Answer: b. Lack of relevant indexeslockedinai+1
Which operation often leads to less efficient queries?
a. Using JOINs wisely
b. Unnecessary nested subqueries
c. Filtering rows
d. Using aggregate functions
Answer: b. Unnecessary nested subqueriesupesonline+1
What is the purpose of partition pruning?
a. Increase scan of non-relevant partitions
b. Exclude non-matching partitions to optimize queries
c. Decrease filter efficiency
d. Delay query processing
Answer: b. Exclude non-matching partitions to optimize queriesthoughtspot
What SQL command forces generation of a new plan per execution?
a. RECOMPILE
b. JOIN
c. DISTINCT
d. AGGREGATE
Answer: a. RECOMPILEscribd
Which AI-driven query optimization method adjusts to workload changes in real time?
a. Static optimization
b. Reinforcement learning approaches
c. Rule-based only optimization
d. Simple index creation
Answer: b. Reinforcement learning approacheseverant
What is the effect of using row limits in queries?
a. No effect on speed
b. Reduces memory usage and network traffic
c. Always slows down result
d. Ignores indexes
Answer: b. Reduces memory usage and network trafficthoughtspot+1
Why is JOIN order important in query optimization?
a. Irrelevant for performance
b. Influences size of intermediate results and performance
c. Used only for readability
d. Increases data quality
Answer: b. Influences size of intermediate results and performancegeeksforgeeks+1
A database system’s query optimizer is responsible for:
a. Generating efficient execution plans that minimize cost
b. Checking user passwords
c. Scheduling backups
d. Encrypting data
Answer: a. Generating efficient execution plans that minimize costgeeksforgeeks+2
Which of the following is a sign of good query optimization practice?
a. Frequent full-table scans
b. Minimized redundant computations and efficient use of indexes
c. Ignoring execution plans
d. Random execution order
Answer: b. Minimized redundant computations and efficient use of indexesupesonline+3

Blog

Systemethic Technologies

Leave a Reply Cancel reply

Useful links

Other Terms & Policies

Contact Info