Informatica Concepts Quiz
Medium-difficulty multiple-choice questions on key Informatica concepts, design decisions, and best practices.
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Quiz Questions & Answers
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Question 1: What primary role does the Informatica PowerCenter Repository play in ETL development?
It acts as the data warehouse where transformed data is permanently stored
It only manages user authentication and has no metadata functions
It executes transformation logic on source systems directly
It stores metadata about mappings, workflows, and objects for reuse and versioning
Question 2: Which design choice most improves performance when moving large volumes through Informatica mappings?
Add more connected transformations to handle each record step-by-step
Minimize row-by-row processing and use set-based transformations with pushdown where appropriate
Always use Lookup caches in dynamic mode for every lookup
Disable partitioning so a single session handles all rows sequentially
Question 3: When is using Pushdown Optimization beneficial in Informatica?
When transformations require Informatica-specific functions that the database cannot perform
Only when working with flat-file sources
When the database can execute transformations more efficiently and network I/O is a bottleneck
To guarantee better logging and auditing compared to running in Informatica
Question 4: What is a high-impact reason to use Mapping Parameters and Variables instead of hard-coded values?
They enable reusability, easier maintenance, and environment-specific configuration without code changes
They prevent any runtime errors automatically
They always improve runtime performance regardless of usage
They are required for every transformation to execute
Question 5: Which scenario indicates a Lookup transformation should use a cached lookup rather than a relational lookup?
When network latency is negligible and database is always local
When the lookup data changes on every row and must be real-time
When you want to avoid using Informatica Server memory for performance
When the lookup table is relatively small, reused across many rows, and fits in memory
Question 6: What common consequence arises from using many connected transformations without optimization?
Automatic parallelization of the session that guarantees faster completion
Increased memory and CPU use leading to slower throughput and potential session failures
Immediate compression of data to save disk space
Complete elimination of the need for repository metadata
Question 7: Which mindset best supports creating maintainable Informatica solutions?
Keep all logic in one complex mapping to avoid managing multiple artifacts
Optimize only after production issues appear to avoid premature work
Design for reuse, clarity, and configurability so mappings are easy to adapt and troubleshoot
Favor proprietary functions over standard patterns for uniqueness
Question 8: Which myth about Informatica is misleading for decision-makers?
Only data engineers can benefit from Informatica’s metadata and lineage capabilities
Using Informatica removes the need for data quality checks
Informatica always solves performance issues without design changes
Informatica is just a black-box ETL tool and cannot be tuned or integrated with databases