Which challenges are commonly encountered during data migration testing?

  • Data completeness
  • Data consistency
  • Data integrity
  • Data mapping errors
Data migration testing often faces challenges such as data mapping errors where data from the source doesn't align correctly with the target, leading to inconsistencies and issues in migration.

What is the difference between symmetric and asymmetric encryption, and which one is commonly used in database encryption?

  • Asymmetric encryption uses different keys for encryption and decryption.
  • Both encryption methods use different keys for encryption and decryption.
  • Symmetric encryption is commonly used in database encryption.
  • Symmetric encryption uses a single key for both encryption and decryption.
Symmetric encryption uses a single key for both encryption and decryption, making it faster and more efficient for large volumes of data. Asymmetric encryption, on the other hand, uses a pair of keys (public and private) which makes it slower but more secure. Symmetric encryption is commonly used in database encryption because it provides faster processing times, essential for handling large amounts of data in databases.

Which metric helps identify the percentage of test cases that have been executed but are still failing?

  • Defect Density
  • Test Case Effectiveness
  • Test Coverage
  • Test Execution Effectiveness
Test coverage metric helps in identifying the percentage of test cases that have been executed but are still failing. It measures the extent to which the application has been tested by comparing the number of executed test cases to the total number of test cases defined in the test plan. A high test coverage percentage indicates that a significant portion of the application has been tested, while a low test coverage percentage suggests inadequate testing. By monitoring test coverage, testers can prioritize testing efforts, identify areas with insufficient coverage, and ensure comprehensive testing of the application. This metric is essential for assessing the thoroughness and effectiveness of the testing process.

What is the purpose of database query optimization in performance testing?

  • Enhance database security
  • Improve query efficiency
  • Increase database size
  • Reduce database redundancy
The purpose of database query optimization in performance testing is to improve query efficiency. By optimizing queries, database performance can be enhanced, leading to faster response times, reduced resource consumption, and improved overall system performance. Query optimization techniques include index usage, query rewriting, and database schema tuning.

In database testing, automation frameworks facilitate the creation of reusable ____________ for common testing scenarios.

  • test cases
  • test data
  • test plans
  • test scripts
Automation frameworks aid in the creation of reusable test data for recurring testing scenarios. This improves efficiency by eliminating the need to recreate test data for each test cycle.

In authorization testing, the principle of "least ____________" is a security practice that grants users the minimum access required to perform their tasks.

  • Access
  • Authority
  • Permission
  • Privileges
The principle of "least privilege" ensures that users have the minimum level of access necessary to accomplish their tasks. This practice reduces the risk of unauthorized access and potential security breaches.

Test script execution should include ____________ to verify the expected outcomes.

  • Assertions
  • Validations
  • Inspections
  • Verifications
The correct option is "Verifications." Test script execution should include verifications to validate that the expected outcomes are met. Verifications involve comparing the actual results of the executed test script with the expected outcomes specified beforehand. This ensures that the database behaves as intended and that any deviations from expected behavior are detected and addressed promptly.

You are testing a mission-critical database for a financial institution. During the test, you observe that the database response time significantly increases as the number of concurrent users grows. Which type of testing should you perform to address this issue?

  • Load Testing
  • Performance Testing
  • Scalability Testing
  • Stress Testing
Performance Testing

In ETL testing, data lineage analysis helps track the ____________ of data from source to target.

  • Flow
  • Journey
  • Movement
  • Transformation
Data lineage analysis in ETL testing involves tracing the path or journey of data from its source to its destination or target, helping ensure data integrity and understand the data flow.

Scenario: Your organization is subject to the Payment Card Industry Data Security Standard (PCI DSS). During a compliance audit, it is discovered that credit card information is stored in an unencrypted form in one of the database tables. What immediate action should you take?

  • Delete the credit card information from the database to avoid non-compliance.
  • Encrypt the credit card information using industry-standard encryption algorithms.
  • Implement tokenization techniques to replace credit card numbers with unique tokens.
  • Inform the audit committee and develop a plan to encrypt the credit card data.
Storing credit card information in an unencrypted form violates PCI DSS compliance requirements. The immediate action should be to encrypt the credit card information using industry-standard encryption algorithms to ensure data security and compliance with PCI DSS standards. Encryption protects sensitive information from unauthorized access and ensures that it remains confidential even if the database is compromised.

Query ____________ is an essential step in query performance testing.

  • Analysis
  • Execution
  • Optimization
  • Tuning
Query tuning is an essential step in query performance testing. Query tuning involves optimizing the SQL queries to improve their performance and efficiency. It includes identifying and eliminating bottlenecks, rewriting queries for better execution plans, and optimizing indexes and database configurations to enhance query performance.

Scenario: In a data migration testing scenario, the rollback plan fails to revert to the previous state due to technical issues. What immediate actions should the testing team take?

  • Escalate to Management
  • Investigate the Root Cause of the Rollback Failure
  • Re-attempt Rollback
  • Re-validate Data Migration Process
When the rollback plan fails, the testing team should immediately investigate the root cause of the failure. This involves analyzing logs, error messages, and system behavior to identify the technical issues preventing the rollback. Once the root cause is determined, appropriate corrective actions can be taken to address the underlying problems and ensure the effectiveness of the rollback process. Escalating to management may be necessary if the issue requires additional resources or expertise to resolve. Re-attempting rollback without understanding the root cause could lead to repeated failures and further complications in the data migration process.