What is meant by concurrency control in DB2?

  • Ensuring high availability of the DB2 server
  • Implementing security measures to control access to DB2 resources
  • Managing simultaneous access to data by multiple transactions
  • Optimizing SQL queries for performance
Concurrency control in DB2 refers to the management of simultaneous access to data by multiple transactions. It ensures that transactions execute without interfering with each other, maintaining data integrity and consistency. This involves techniques such as locking, timestamping, and multiversion concurrency control to coordinate the execution of transactions and prevent conflicts that could lead to data anomalies. 

Scenario: A DBA notices inconsistencies in a DB2 database due to data integrity violations. How can they investigate and resolve these issues effectively?

  • Conducting thorough data analysis using DB2 utilities such as CHECK DATA and REPAIR DB
  • Reviewing transaction logs to identify the source of integrity violations
  • Collaborating with application developers to identify and fix data manipulation errors
  • Implementing constraints and triggers to enforce data integrity at the database level
Option 1: Conducting thorough data analysis using DB2 utilities such as CHECK DATA and REPAIR DB enables the DBA to identify and resolve inconsistencies effectively. These utilities can help in identifying corrupt data pages, missing rows, or inconsistencies in indexes. This method ensures that the database remains consistent and reliable. 

In DB2, a user-defined function can be created using the ________ statement.

  • CREATE FUNCTION
  • DECLARE FUNCTION
  • DEFINE FUNCTION
  • MAKE FUNCTION
User-defined functions in DB2 are created using the CREATE FUNCTION statement. This statement allows developers to define custom functions that can perform specific tasks and can be reused across multiple queries. Functions created using this statement can enhance code modularity and maintainability. 

The decision to use XML or JSON in DB2 depends on factors such as ________.

  • Compatibility with other systems
  • Complexity of data and application requirements
  • Developer's personal preference
  • Storage requirements and performance considerations
The decision to use XML or JSON in DB2 depends on factors such as the complexity of the data and application requirements. It's crucial to consider the structure and nature of the data to choose the appropriate format. 

IBM Data Studio offers advanced features such as ________ to streamline database administration tasks.

  • Data Profiling
  • Integrated Debugger
  • Visual Query Tuner
  • Visual SQL Builder
IBM Data Studio provides a Visual SQL Builder tool, allowing developers to visually construct SQL queries, which streamlines the process of database administration tasks. 

When dealing with large result sets, DB2 optimizes cursor positioning by ________.

  • Caching entire result set
  • Indexing result set
  • Limiting cursor movement
  • Prefetching rows
DB2 optimizes cursor positioning when dealing with large result sets by prefetching rows. Prefetching involves fetching multiple rows from the result set into memory before they are actually requested, which reduces the overhead of fetching rows one by one and enhances the performance of cursor operations. 

An application upgrade requires significant changes to database tables and indexes in a DB2 database. What considerations should be made regarding the Reorg utility to maintain database performance during and after the upgrade process?

  • Execute Reorg on the entire database to ensure uniform distribution of data across storage containers
  • Increase the Reorg utility's degree of parallelism to expedite the reorganization process
  • Pause Reorg operations during peak application usage hours to minimize impact on ongoing transactions
  • Perform Reorg after applying table and index changes to optimize storage allocation and improve data access efficiency
Performing Reorg after applying table and index changes is essential to optimize storage allocation and improve data access efficiency by eliminating fragmentation. This ensures that the database performs optimally after the upgrade. Executing Reorg on the entire database may be unnecessary and resource-intensive, as only the affected tables and indexes require reorganization. Pausing Reorg during peak usage hours may disrupt ongoing transactions and prolong the maintenance window, affecting application availability. Increasing the Reorg utility's degree of parallelism may expedite the process but should be carefully balanced with system resource utilization to avoid resource contention and performance degradation. 

How does an IDE like IBM Data Studio enhance the productivity of developers and administrators working with DB2?

  • 3D Modeling, Animation Rendering, Game Development, Virtual Reality
  • Code Debugging, Performance Monitoring, Integrated Environment, Schema Visualization
  • Spreadsheet Analysis, Data Visualization, Chart Creation, Predictive Analytics
  • Text Editing, File Management, Code Compilation, Version Control
IBM Data Studio enhances the productivity of developers and administrators working with DB2 by offering features like Code Debugging, Performance Monitoring, and an Integrated Environment. Developers can debug SQL statements, monitor database performance, and manage database objects efficiently, thereby improving productivity. Additionally, features like Schema Visualization help in understanding database structures better, enabling faster development and administration tasks. 

What is the primary purpose of implementing security measures in a DB2 database?

  • Automating data entry
  • Enhancing database backup
  • Improving query performance
  • Protecting sensitive data
Implementing security measures in a DB2 database is primarily about protecting sensitive data from unauthorized access, modification, or deletion. By enforcing security measures, organizations ensure that only authorized users can access specific data, reducing the risk of data breaches and maintaining data integrity. 

What are the potential drawbacks of over-normalization?

  • Difficulty in data retrieval
  • Increased complexity
  • Increased risk of data anomalies
  • Reduced query performance
Over-normalization can lead to increased complexity in the database schema, which may make it harder to understand and maintain. It can also result in reduced query performance due to the need for joining multiple tables frequently. Additionally, over-normalization may make data retrieval more challenging and increase the risk of data anomalies.