MCQs

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Overall MCQs for Reference

1. Which hash function is commonly used for indexing in AI-based database systems?
   a. Linear probing
   b. Division method
   c. Merge sort
   d. Heap sort
   Answer: b. Division methodsanfoundry+1​
2. What is the role of hashing in enhancing AI-based password storage security?
   a. Encrypts passwords for direct comparison
   b. Stores plaintext passwords
   c. Hashes passwords before storage
   d. Generates user keys directly
   Answer: c. Hashes passwords before storagetestingxperts​
3. Which hashing technique adapts to threats in real-time using AI?
   a. Static hashing
   b. Adaptive hashing algorithms
   c. Open addressing
   d. Manual chaining
   Answer: b. Adaptive hashing algorithmstestingxperts​
4. Which of the following is the most quantum-resistant hashing algorithm?
   a. SHA-1
   b. MD5
   c. SHA-3
   d. DES
   Answer: c. SHA-3testingxperts​
5. In similarity-based deep learning, which protocol ranks samples by Hamming distance?
   a. Mean squared error
   b. Hamming ranking protocol
   c. Maximum likelihood estimation
   d. Softmax ranking
   Answer: b. Hamming ranking protocolabout.att​
6. What type of collision resolution does chaining provide in hash tables?
   a. Open addressing
   b. Cuckoo hashing
   c. Separate chaining
   d. Quadratic probing
   Answer: c. Separate chainingtestbook+1​
7. Which characteristic makes AI-driven hashing more secure against brute-force attacks?
   a. Predictable output
   b. Adaptive pattern recognition
   c. Static algorithms
   d. Linear processing
   Answer: b. Adaptive pattern recognitiontestingxperts​
8. Which method squares the key and extracts middle digits for hashing?
   a. Division
   b. Folding
   c. Mid Square
   d. Double Hashing
   Answer: c. Mid Squarescribd​
9. What is the purpose of hash functions in digital signatures for AI use cases?
   a. Verification of authenticity
   b. Data compression
   c. Key generation
   d. Networking optimization
   Answer: a. Verification of authenticitytestingxperts​
10. What does deep hashing improve in AI-powered image retrieval?
    a. Sorting speed
    b. Feature-based indexing and search
    c. Data compression
    d. Plaintext encryption
    Answer: b. Feature-based indexing and searchabout.att​
11. Which approach allows hash functions to resist rainbow table attacks?
    a. Hash chaining
    b. Salted hashing
    c. Plain hashing
    d. Sorted indexing
    Answer: b. Salted hashingtestingxperts​
12. Which advanced technique leverages mutual information to enhance deep hashing?
    a. K-means clustering
    b. Deep Hashing with Mutual Information (DHMI)
    c. Principal Component Analysis (PCA)
    d. Linear Regression
    Answer: b. Deep Hashing with Mutual Information (DHMI)sciencedirect​
13. The folding hashing method is primarily used to:
    a. Multiply all key digits
    b. Divide keys and sum the parts
    c. Sort data by key size
    d. Encode categorical data
    Answer: b. Divide keys and sum the partstestrigor​
14. Which algorithm is known for high performance with cryptographic security in hashing?
    a. LZW
    b. Blake2
    c. SHA-1
    d. DES
    Answer: b. Blake2testingxperts​
15. What is the result of a hash collision in AI-based hash tables?
    a. Unique entries
    b. Data loss prevention
    c. Multiple keys mapping to the same address
    d. Instant resolution
    Answer: c. Multiple keys mapping to the same addresssanfoundry+1​
16. A good hash function in AI should primarily:
    a. Minimize collisions
    b. Maximize collisions
    c. Use simple keys
    d. Ignore data distribution
    Answer: a. Minimize collisionsscribd​
17. In quantum-resistant cryptography, what is the main role of AI-integrated hashing?
    a. Reduce hash length
    b. Simulate quantum attacks to optimize hash functions
    c. Limit data throughput
    d. Generate random numbers
    Answer: b. Simulate quantum attacks to optimize hash functionstestingxperts​
18. What outcome is expected from deep supervised hashing?
    a. Lower precision
    b. Improved retrieval accuracy
    c. High hashing latency
    d. Unsupervised clustering
    Answer: b. Improved retrieval accuracyacm+1​
19. Which hashing method uses probe sequences to resolve collisions?
    a. Linear probing
    b. Separate chaining
    c. Hash chaining
    d. Direct mapping
    Answer: a. Linear probingtestbook+1​
20. What is the key advantage of using deep hashing over traditional hashing in AI?
    a. Reduced recall
    b. Better handling of high-dimensional data
    c. Less interpretability
    d. Higher energy costs
    Answer: b. Better handling of high-dimensional dataacm+1​
21. Why is hashing critical in AI-driven blockchain applications?
    a. Guarantees data privacy only
    b. Ensures transaction integrity and immutability
    c. Increases transaction time
    d. Supports plaintext transactions
    Answer: b. Ensures transaction integrity and immutabilitytestingxperts​
22. Given k keys and m slots, a good hash function should:
    a. Map all keys to the same slot
    b. Distribute k keys uniformly into m slots
    c. Hash only even keys
    d. Use a fixed range
    Answer: b. Distribute k keys uniformly into m slotsgeeksforgeeks+1​
23. In DBMS, what is the principal role of hashing techniques for advanced AI?
    a. Enhance transaction throughput
    b. Hash for data block address generation
    c. Decrypt stored values
    d. Merge table rows
    Answer: b. Hash for data block address generationincludehelp​
24. Which hash is preferred for password hashing in quantum-era systems?
    a. SHA-1
    b. Salted and quantum-resistant hash
    c. CRC32
    d. LZW compression
    Answer: b. Salted and quantum-resistant hashtestingxperts​
25. Which deep learning hashing strategy links hash bits for performance gain?
    a. Random bit assignment
    b. Inter-bit mutual complementarity
    c. Hash chaining
    d. Linear sequencing
    Answer: b. Inter-bit mutual complementarityabout.att​
26. What is used to prevent overflow when multiple hash functions are involved?
    a. Chaining
    b. Folding
    c. Rehashing
    d. Sorting
    Answer: c. Rehashingscribd​
27. Which property describes hashing as a one-way transformation?
    a. Deterministic
    b. Irreversible
    c. Reversible
    d. Compressible
    Answer: b. Irreversibleokta​
28. Which hashing approach incrementally improves by learning from attacks?
    a. Static hashing
    b. Fixed key hashing
    c. AI-driven adaptive hashing
    d. Plain hash coding
    Answer: c. AI-driven adaptive hashingtestingxperts​
29. Deep hashing techniques in image retrieval primarily operate by:
    a. Sorting pixel values
    b. Learning compact binary codes
    c. Labeling images semantically only
    d. Adjusting image brightness
    Answer: b. Learning compact binary codesnature+1​
30. Which type of hashing is the most efficient for real-time AI threat detection?
    a. Static hashing
    b. Automating hashing processes with AI
    c. Open hashing only
    d. Bubble sorting
    Answer: b. Automating hashing processes with AItestingxperts​
31. The main goal of using hash-based indexing in AI is to:
    a. Decrease memory usage
    b. Improve index and search speed
    c. Lower precision
    d. Strengthen encryption only
    Answer: b. Improve index and search speedacm+1​
32. Which method splits the key into parts to create its hash?
    a. Folding
    b. Heap sort
    c. Insertion sort
    d. Quick sort
    Answer: a. Foldingtestrigor​
33. How do post-quantum AI systems maintain data integrity?
    a. By blocking hashes
    b. Using AI-designed quantum-resistant algorithms
    c. Skipping hashing
    d. Deleting old data
    Answer: b. Using AI-designed quantum-resistant algorithmstestingxperts​
34. In which field is deep hashing notably used for fast multimedia retrieval?
    a. Weather forecasting
    b. Image and video search
    c. Edge detection
    d. Path planning
    Answer: b. Image and video searchnature+1​
35. What role does hashing play in enhancing digital forensics through AI?
    a. Erases digital trails
    b. Enables rapid data comparison and integrity verification
    c. Encrypts data
    d. Randomizes logs
    Answer: b. Enables rapid data comparison and integrity verificationtestingxperts​
36. Which technique combines AI with hash functions to defend against novel attacks?
    a. Hard-coded hashes
    b. Predictive, AI-driven hashing
    c. Manual salting
    d. Plain tokenization
    Answer: b. Predictive, AI-driven hashingtestingxperts​
37. Which AI hashing method focuses on learning semantic similarity for searches?
    a. Semantically agnostic hashing
    b. Deep semantic hashing
    c. Linear bit comparison
    d. Fixed coding
    Answer: b. Deep semantic hashingnature+1​
38. In advanced AI, what is the advantage of hash function regularization?
    a. Reduces overfitting in hash generation
    b. Increases collisions
    c. Compresses images
    d. Strengthens passwords
    Answer: a. Reduces overfitting in hash generationsciencedirect​
39. How is automation in AI-powered hashing beneficial to healthcare data security?
    a. Prevents real-time analytics
    b. Reduces misconfigurations and boosts timely protection
    c. Delays data access
    d. Manual audit only
    Answer: b. Reduces misconfigurations and boosts timely protectiontestingxperts​
40. What mathematical measure is often maximized in deep hashing for retrieval tasks?
    a. Recall-at-N
    b. Mutual information
    c. Mean squared error
    d. Standard deviation
    Answer: b. Mutual informationsciencedirect​
41. In AI hashing, what practice ensures hash uniqueness for each user despite the same password?
    a. Key reuse
    b. Adding a unique salt per user
    c. Default hashing
    d. Synchronous hashing
    Answer: b. Adding a unique salt per usertestingxperts​
42. What is the risk if traditional hash functions are used without AI in cryptography?
    a. Unbreakable security
    b. Vulnerability to advanced, AI-driven attacks
    c. Complete randomness
    d. Simple key mapping
    Answer: b. Vulnerability to advanced, AI-driven attackstestingxperts​
43. Which step is necessary before applying machine learning to hash-based search?
    a. Quantizing and encoding features as hash codes
    b. Encrypting the database
    c. Deleting irrelevant data
    d. Sorting by date
    Answer: a. Quantizing and encoding features as hash codesabout.att+1​
44. Advanced AI-based hashing for authentication typically includes:
    a. Static hash comparison only
    b. Dynamic, session-specific hashing
    c. Manual ID checking
    d. Encrypted emails
    Answer: b. Dynamic, session-specific hashingtestingxperts​
45. What is one emerging use of AI-powered hashing in cryptocurrencies?
    a. Automating tax compliance
    b. Developing quantum-resistant, post-quantum hash functions
    c. Ignoring hash values
    d. Disabling transaction validation
    Answer: b. Developing quantum-resistant, post-quantum hash functionstestingxperts​
46. How does deep hashing improve large-scale dataset processing for AI?
    a. By using plaintext sorting
    b. Creating efficient binary representations for comparison
    c. Only storing URLs
    d. Encrypting keywords
    Answer: b. Creating efficient binary representations for comparisonacm+1​
47. Which AI-enhanced hashing technique helps prevent hash collisions the most?
    a. Universal hashing scheme with adaptive algorithms
    b. Simple random mapping
    c. Open addressing exclusively
    d. Recursive folding
    Answer: a. Universal hashing scheme with adaptive algorithmssanfoundry+1​
48. What new field in AI hashing focuses on protecting against quantum computer threats?
    a. Traditional hashing
    b. Quantum-resistant AI-powered hashing
    c. Sequential mapping
    d. Data masking
    Answer: b. Quantum-resistant AI-powered hashingtestingxperts​
49. When evaluating deep supervised hashing, what metric is often used?
    a. Word count
    b. Mean Average Precision (mAP)
    c. Shannon entropy
    d. Standard Error
    Answer: b. Mean Average Precision (mAP)about.att​
50. What is a vital requirement of secure hash functions for AI in modern cryptography?
    a. Output must be reversible
    b. Output must be deterministic and unpredictable
    c. Output should increase collisions
    d. Output must be compressed
    Answer: b. Output must be deterministic and unpredictableokta+1​

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2. https://testbook.com/objective-questions/mcq-on-hashing–5eea6a0c39140f30f369e0c1
3. https://www.testingxperts.com/blog/hashing-in-cybersecurity/
4. https://about.att.com/ecms/dam/sites/labs_research/content/publications/Deep_Hashing.pdf
5. https://www.sanfoundry.com/database-mcqs-hashing-techniques/
6. https://www.scribd.com/document/880206586/Unit-v-Searching-Sorting-Hashing-MCQs
7. https://www.sciencedirect.com/science/article/abs/pii/S0957417424027477
8. https://testrigor.com/blog/what-is-hashing/
9. https://www.includehelp.com/mcq/dbms-hashing-mcqs.aspx
10. https://dl.acm.org/doi/10.1145/3532624
11. https://www.geeksforgeeks.org/dsa/introduction-to-hashing-2/
12. https://www.okta.com/identity-101/hashing-algorithms/
13. https://www.nature.com/articles/s41598-025-93418-2
14. https://www.geeksforgeeks.org/quizzes/top-mcqs-on-hash-data-strcuture-with-answers/
15. https://testbook.com/objective-questions/mcq-on-hashing–5eea6a0939140f30f369da76
16. https://doverunner.com/blogs/guide-to-understand-hashing-algorithms/
17. https://www.javaguides.net/2024/09/artificial-intelligence-mcq-questions.html
18. https://www.scribd.com/document/703780063/AI-MCQ-QUESTION-100-mcq
19. http://www.iraj.in/journal/journal_file/journal_pdf/3-343-149190103617-21.pdf
20. https://www.includehelp.com/cryptography/mcq-hash-function-technique.aspx