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IBM Information Management P2090-050

P2090-050

Exam Code: P2090-050

Exam Name: IBM PureData System for Analytics Technical Mastery Test v1

Updated: Aug 17, 2026

Q&A Number: 131 Q&As

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IBM P2090-050 Exam Syllabus Topics:

SectionObjectives
Topic 1: IBM PureData System for Analytics Overview- Business value and use cases
  • 1. Analytical data warehouse concepts
    • 2. Platform positioning and advantages
      Topic 2: Performance and Optimization- Performance management
      • 1. System tuning best practices
        • 2. Query optimization concepts
          • 3. Workload management
            Topic 3: Troubleshooting and Support- Problem determination
            • 1. Diagnostic tools and logs
              • 2. Common operational issues
                Topic 4: Administration and Management- System administration
                • 1. User and resource management
                  • 2. Monitoring and maintenance
                    • 3. Backup and recovery concepts
                      Topic 5: Security and Data Management- Security fundamentals
                      • 1. Data protection and auditing
                        • 2. Authentication and authorization
                          Topic 6: Installation and Configuration- Deployment fundamentals
                          • 1. Network and connectivity requirements
                            • 2. Initial configuration
                              Topic 7: Architecture and Components- System architecture
                              • 1. Storage and data distribution
                                • 2. Hardware and software components
                                  • 3. Massively parallel processing architecture

                                    IBM PureData System for Analytics Technical Mastery Test v1 Sample Questions:

                                    1. Click on the exhibit.

                                    Given the following query: SELECT * FROM TableA, TableB WHERE TableA.c_custkey = TableB.o_custkey;What type of join processing will occur when the query is executed?

                                    A) Distributed hash join processing
                                    B) Collocation hash join processing
                                    C) Broadcast sort merge join processing
                                    D) Replication sort merge join processing


                                    2. Which statement is NOT true regarding the nzload utility?

                                    A) nzload runs on the PureData System for Analytics host.
                                    B) nzload runs on windows.
                                    C) nzload blocks update/delete against the target table.
                                    D) nzload runs on SuSE Linux.


                                    3. When are zonemaps initially created for a table?

                                    A) nzreclaim
                                    B) nzbackup
                                    C) ALTER TABLE ADD ZONEMAPS
                                    D) CREATE TABLE


                                    4. Which two statistical data points are automatically updated when performing an INSERT on a table? (Choose two.)

                                    A) The column histogramstatistics.
                                    B) The number of unique values in each column.
                                    C) The number of NULLs in each column.
                                    D) The number of rows in the table.
                                    E) The minimum and maximum column value information (excluding text columns).


                                    5. What are two considerations for usage of materialized views? (Choose two)

                                    A) Materialized views may improve query performance.
                                    B) Materialized views are not supported.
                                    C) Materialized views are considered for usage by the Optimizer.
                                    D) Materialized views are logical entities.
                                    E) Materialized views are the same as database views.


                                    Solutions:

                                    Question # 1
                                    Answer: B
                                    Question # 2
                                    Answer: C
                                    Question # 3
                                    Answer: D
                                    Question # 4
                                    Answer: D,E
                                    Question # 5
                                    Answer: A,C

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