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| Section | Weight | Objectives |
|---|---|---|
| Deployment & Source Control | 7% | - Export/import of jobs and projects - Job comparison and impact analysis - Source control integration |
| Data Transformation | 14% | - Transformer stage functionality - Type conversion and derivations - Change Capture and Apply stages - Slowly Changing Dimension (SCD) stage |
| Job Design Principles | 12% | - Shared containers and reusable components - Restart points and checkpoint design - Performance-oriented job design - Minimizing sorts and repartitions |
| Configuration | 6% | - Project and environment setup - Configuration file structure - Node pools and parallel environment design |
| Metadata | 6% | - Metadata sharing and reuse - Runtime Column Propagation (RCP) - Schema management and import |
| Complex Jobs & Real-Time | 10% | - Real-time integration patterns - Job sequences and dependencies - Information Services Director (ISD) |
| Performance Tuning | 10% | - Sorting and partitioning optimization - Identifying bottlenecks - Environment variable tuning |
| Parallel Architecture | 7% | - Parallel execution framework - Environment variables for parallel jobs - Partitioning and collecting methods |
| Job Control & Runtime Management | 6% | - Log analysis and troubleshooting - Error handling and message handlers - Monitoring execution status |
| Persistent Storage | 15% | - File format and record structure - Data import/export operations - Sequential File and Data Set stages |
| Database Connectivity | 7% | - Connection configuration and optimization - SQL pushdown and data type handling - Database Connector stages |
1. Your job is using the Sequential File stage as a source. Identify two stage property configurations that will allow you to accomplish parallel reads? (Choose two.)
A) Read Method property is set to 'Parallel' with the Key property set to a Input column that has the file names.
B) Read Method property set to 'File Pattern' and the 'Readers per Node' property value set to greater than 1.
C) Read Method property set to 'File Pattern' and the environment variable $APT_IMPORT_PATTERN_USES_FILESET is set to 'FALSE'.
D) Read Method property set to 'Specific File(s)' with only one file specified and the 'Readers Per Node' property value set to greater than 1.
E) Read Method property set to 'Specific File(s)' with more than one file specified and each file specified has the same format/column properties.
2. In the Slowly Changing Dimension stage, a dimension columns Purpose code property can trigger which two actions. (Choose two.)
A) Delete duplicate dimension table rows.
B) Insert rows into the fact table.
C) Update the dimension table.
D) Update fact table keys.
E) Detect dimension changes.
3. How is DataStage table metadata shared among DataStage projects?
A) Export DataStage table definitions from one project and importing them into another project.
B) Use the "Shared Table Creation Wizard" to place the table in the shared repository.
C) Import another copy of the table metadata into the project where it is required.
D) Use the InfoSphere Metadata Asset Manager (IMAM) to move the DataStage table definition to the projects where it is needed.
4. Your job sequence must be restartable. It runs Job1, Job2, and Job3 serially. It has been compiled with "Add checkpoints so sequence is restartable". Job1 must execute every run even after a failure. Which two properties must be selected to ensure that Job1 is run each time, even after a failure? (Choose two.)
A) Set the Job1 Activity stage to "Do not checkpoint run".
B) Set trigger on the Job1 Activity stage to "Unconditional".
C) Use the Nested Condition Activity with a trigger leading to Job1; set the trigger expression type to "Unconditional".
D) In the Job1 Activity stage set the Execution action to "Reset if required, then run".
E) In the Job1 Activity stage set the Execution action to "Run".
5. Identify two areas that DataStage can integrate with a Hadoop environment. (Choose two.)
A) Use the Pig Activity stage in a sequencer to invoke a Pig MapReduce program.
B) Use the Oozie Workflow Activity stage in a sequencer job to invoke Oozie work flows.
C) Use the MapReduce Transformer stage to convert Hadoop Distributed File System data.
D) Use the Big Data File stage to access files on the Hadoop Distributed File System.
E) Use the Hive Activity stage in a sequences to invoke a Hive MapReduce program.
Solutions:
| Question # 1 Answer: D,E | Question # 2 Answer: C,E | Question # 3 Answer: B | Question # 4 Answer: A,D | Question # 5 Answer: B,D |
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