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| Section | Weight | Objectives |
|---|---|---|
| Job Design Principles | 12% | - Performance-oriented job design - Minimizing sorts and repartitions - Restart points and checkpoint design - Shared containers and reusable components |
| Database Connectivity | 7% | - SQL pushdown and data type handling - Connection configuration and optimization - Database Connector stages |
| Deployment & Source Control | 7% | - Export/import of jobs and projects - Job comparison and impact analysis - Source control integration |
| Parallel Architecture | 7% | - Partitioning and collecting methods - Environment variables for parallel jobs - Parallel execution framework |
| Metadata | 6% | - Metadata sharing and reuse - Runtime Column Propagation (RCP) - Schema management and import |
| Configuration | 6% | - Node pools and parallel environment design - Project and environment setup - Configuration file structure |
| Complex Jobs & Real-Time | 10% | - Information Services Director (ISD) - Real-time integration patterns - Job sequences and dependencies |
| Data Transformation | 14% | - Type conversion and derivations - Transformer stage functionality - Slowly Changing Dimension (SCD) stage - Change Capture and Apply stages |
| Performance Tuning | 10% | - Identifying bottlenecks - Sorting and partitioning optimization - Environment variable tuning |
| Persistent Storage | 15% | - Sequential File and Data Set stages - File format and record structure - Data import/export operations |
| Job Control & Runtime Management | 6% | - Log analysis and troubleshooting - Error handling and message handlers - Monitoring execution status |
1. You have made a copy of your job and made major changes to a job in your project. You now want to identify all the changes that have been made. What task will allow you to identify these changes?
A) Select the job, then right click Cross Project Compare.
B) Export the modified job to the backup directory.
C) Select the job, then right click Compare against.
D) Export the original job to a backup directory.
2. In a Transformer expression for a stage variable, there is a nullable input column. Assume the legacy NULL processing option is turned off. What happens when a row is processed that contains NULL in that input column?
A) NULL is written to the stage variable.
B) The value written to the stage variable is undetermined.
C) The row is rejected.
D) The job aborts.
3. Which statement describes a SCD Type One update in the Slowly Changing Dimension stage?
A) Adds a new row to a dimension table.
B) Overwrites an attribute in the fact table.
C) Overwrites an attribute in a dimension table.
D) Adds a new row to the fact table.
4. A job design consists of an input Row Generator stage, a Sort stage, followed by a Transformer stage and an output Data Set stage. The job is run on an SMP machine with a configuration file defined with four nodes. The $APT_DISABLE_COMBINATION variable is set to True. How many player processes will this job generate?
A) 7
B) 13
C) 16
D) 16
5. You are editing the configuration file. Which statement is true about file system efficiency?
A) For the resource disk, it is best to use the partition where the engine is installed.
B) Creating scratch disk spaces on an internal disk rather than on an NFS drive improves sort performance.
C) Using multiple scratch spaces in a logical node improves performance.
D) In a clustered environment where NAS is used for a common storage, you must specify the internal disk for scratch disk.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: B |
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