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Quizzes > Computers & Technology > Programming & Software

Take the Ultimate Informatica Certification Practice Test

Ready to master Informatica certification sample questions? Dive into our data warehousing quiz now!

Difficulty: Moderate
2-5mins
Learning OutcomesCheat Sheet
Paper art illustration for Informatica Certification Quiz on a coral background, testing data warehousing and BI skills.

Get ready to ace your Informatica Certification Practice Test with our free online quiz! Whether you're brushing up on Informatica certification sample questions or tackling an Informatica data warehousing quiz, this interactive challenge will sharpen your BI skills and boost your Informatica exam prep. Perfect for data integration enthusiasts, you'll dive into workflows and mappings. You'll tackle real-world tasks like ETL debugging and performance tuning to mirror exam challenges. Ready to deepen your knowledge? Test your fundamentals in an ETL basics quiz or push further with our comprehensive business intelligence test. Start now and own your Informatica BI practice exam journey!

Which transformation is used to filter rows in an Informatica mapping?
Expression
Router
Filter
Aggregator
The Filter transformation allows you to specify conditions to filter data rows in your mapping. It evaluates each row and passes only those that meet the condition. This transformation is applied before data reaches the target. More info
What is the primary purpose of a Mapplet in Informatica?
Workflow scheduling component
Reusable set of transformations
Session object for execution
Source definition container
A Mapplet is a reusable object that encapsulates a set of transformations which can be shared across multiple mappings. This promotes modularity and reduces development effort by avoiding duplicate logic. Mapplets are created in the Mapplet Designer. More info
Which service is responsible for executing workflows in Informatica PowerCenter?
Reporting Service
Notification Service
Integration Service
Repository Service
The Integration Service is responsible for executing workflows and sessions in Informatica PowerCenter. It reads the workflow and session metadata from the repository and manages the data movement. Without the Integration Service running, workflows cannot be executed. More info
What does ETL stand for in the context of Informatica?
Encrypt, Transform, Load
Extract, Transform, Load
Evaluate, Transfer, Link
Extract, Transfer, Load
ETL stands for Extract, Transform, Load, which describes the core process of moving data from source systems, transforming it to meet business needs, and loading it into target systems. Informatica PowerCenter automates these ETL processes. Proper ETL design ensures data quality and performance. More info
Which transformation is used to generate surrogate keys in Informatica?
Sequence Generator
Expression
Surrogate Key
Aggregator
The Sequence Generator transformation is used to generate unique numeric values, typically for surrogate keys. It can generate consecutive numbers based on its start and increment settings. This ensures unique identifiers in your target table. More info
Which transformation performs aggregate calculations such as SUM or AVG?
Router
Expression
Filter
Aggregator
The Aggregator transformation is designed to perform aggregate calculations such as SUM, AVG, MIN, MAX, and COUNT. It groups data based on specified group-by ports. Aggregator transformations can be cached to improve performance. More info
Which file contains parameter and variable values for sessions in Informatica?
Mapping file
Parameter file
Repository file
Session log file
Parameter files store values for parameters and variables at session run time. They allow you to change values without modifying the mapping or workflow. Parameter files enhance flexibility and portability of workflows. More info
Which transformation routes data to multiple output groups based on conditions?
Router
Filter
Sorter
Joiner
The Router transformation allows you to specify multiple group conditions and route rows to different output groups. Unlike the Filter transformation, which outputs only one group, Router can output rows to multiple groups. It is useful for branching logic in mappings. More info
What is the default extension for an exported Informatica mapping file?
.wrk
.xml
.pm
.map
When you export objects from Informatica PowerCenter, they are saved as .xml files. These XML files capture metadata for mappings, sessions, workflows, and other objects. You can import these files into another repository. More info
Which repository service manages the metadata in Informatica?
Subscription Service
Notification Service
Integration Service
Repository Service
The Repository Service manages the metadata for Informatica PowerCenter, including mappings, workflows, and sessions. It stores metadata in a relational repository database. The Integration Service interacts with the Repository Service to retrieve metadata at run time. More info
What is the purpose of the Source Qualifier transformation?
Schedule workflows
Define target table metadata
Generate sequence numbers
Convert source data and optionally filter or join rows
The Source Qualifier transformation represents the rows that the PowerCenter server reads when it runs a session. It can filter rows, join multiple tables, and convert source data types. It is automatically added for relational sources. More info
Which transformation flags rows for insert, update, delete in the target?
Router
Expression
Update Strategy
Filter
The Update Strategy transformation allows you to flag rows for insert, update, delete, or reject in the target based on business rules. It sets DD_INSERT, DD_UPDATE, DD_DELETE, or DD_REJECT flags. The Integration Service honors these flags during session execution. More info
Which transformation can remove duplicate rows based on all ports?
Filter
Sorter with Distinct option
Router
Aggregator
The Sorter transformation provides a Distinct option which removes duplicate rows based on all ports. It sorts the data and then drops duplicates. This is the most efficient way to remove duplicates in a mapping. More info
Which view in Workflow Monitor shows row counts for each session?
Repository Details
Task Details
Session Details
Workflow Details
The Session Details view in Workflow Monitor displays runtime metrics for sessions, including source, target, and rejected row counts. It helps in performance tuning and debugging. You can drill down into individual tasks for more information. More info
Which transformation concatenates multiple input pipelines into one output pipeline?
Joiner
Lookup
Union
Router
The Union transformation combines data from multiple pipelines into a single output pipeline without eliminating duplicates. All pipelines must have the same number and compatible ports. It's useful for merging similar data streams. More info
What is the maximum number of active Integration Services per domain in Informatica PowerCenter?
20
No hard limit; depends on license
10
5
The number of active Integration Services you can run per domain depends on your Informatica license. There is no hard-coded limit, though practical limits are set by hardware resources and license entitlements. You configure services in the Admin Console. More info
What is pushdown optimization in Informatica?
Deploying mappings to the cloud
Pushing transformation logic to the source or target database
Running sessions in parallel
Compiling mappings for performance
Pushdown optimization moves certain transformation logic from the Informatica server into the database to leverage database processing power. It reduces network traffic and can improve performance. You can configure it at mapping or session level. More info
Which cache type in Lookup transformation reloads data on each session run?
Recache
No cache
Persistent cache
Dynamic cache
The Recache option forces the Lookup transformation to reload the cache for every session run. This ensures the cache contains the most recent data from the lookup source. Persistent cache keeps the cache between runs. More info
Which section header is used in a parameter file for session-level parameters?
[folder.workflow.session]
[session]
[global.parameters]
[workflow.session]
Session-level parameters in a parameter file are defined under the [folder.workflow.session] section, where 'folder' and 'workflow' are the actual folder and workflow names, and 'session' is the session name. This targets values specifically to a session. More info
Which built-in feature helps implement Slowly Changing Dimension Type 2?
SCD Wizard
Dynamic Lookup
Union Transformation
Session Partitioning
The Slowly Changing Dimension (SCD) Wizard automates the creation of mappings for Type 1 and Type 2 dimensions, including necessary SCD logic. It generates the required transformations and flagging. This accelerates development of SCD scenarios. More info
What default port does the Informatica Repository Service listen on?
1521
8080
5001
6001
By default, the Informatica Repository Service listens on port 5001. This can be configured in the Admin Console. Clients use this port to connect to the repository. More info
How does a Dynamic Lookup cache behave during session execution?
It rebuilds on lookup failure
It remains static after initial load
It only reads without updating
It updates the cache with new and changed rows
A Dynamic Lookup cache is initially loaded like a static cache but then updates its cache with new and changed rows during session execution. This allows the lookup to return updated values for subsequent rows. It is useful when source and target tables need synchronized lookups. More info
Which command-line utility is used to start workflows remotely?
pmcmd
infacmd
pmrun
pmrep
The pmcmd command-line utility is used to start, stop, and monitor workflows and sessions remotely against an Integration Service. It communicates with the Informatica server using SOAP. More info
What is the purpose of session partitioning?
Schedule session runs
Manage repository metadata
Trigger workflows
Improve performance by parallelizing data processing
Session partitioning divides data processing into multiple parallel tasks to improve performance and throughput. You can partition sessions by round-robin, hash, or key ranges. Integration Service runs each partition as a separate thread. More info
How do you implement incremental data extraction in Informatica?
Use a Sorter transformation
Use a Union transformation
Use a WHERE clause with a variable based on last run time
Use an Expression transformation only
Incremental extraction is typically implemented by applying a WHERE clause in the Source Qualifier that references a mapping variable or parameter capturing the last successful extract timestamp. After each successful run, you update the variable. This retrieves only new or changed rows. More info
Which transformation do you use to change data type of columns?
Filter
Aggregator
Expression
Sorter
The Expression transformation can be used to perform data type conversions by applying built-in conversion functions or casting. It allows row-by-row transformations and data cleansing. You can change data types or perform calculations. More info
Which repository table stores mapping metadata?
OPB_MAPPING
OPB_WORKFLOW
REP_SESS_LOG
REP_TASK
OPB_MAPPING is the repository database table that stores mapping-level metadata, including mapping names, descriptions, and XML definitions. Each object type has corresponding tables in the repository schema. More info
What is the effect of enabling 'Pre-Session' command in session properties?
Cleans target before loading
Validates mappings before execution
Generates session log
Runs a shell or batch script before session starts
The Pre-Session command allows you to specify an OS-level shell or batch script that runs before the Integration Service starts processing the session. It's useful for preparatory tasks such as file cleanup. You configure it in session properties under Config Object. More info
Which option ensures that a workflow does not start until another completes?
Pre-Session command
Workflow Link with Success link type
Post-Session command
Event wait task
A Workflow Link with the Success link type ensures that the downstream workflow only starts after the upstream workflow succeeds. You define this dependency in Workflow Manager. Other link types include Failure and Completed. More info
How do you enable pushdown optimization for an individual transformation?
Configure in repository manager
Flag the transformation as passive
Set its SQL override and enable Pushdown on mapping
Use a pre-session command
To enable pushdown for a specific transformation, you provide a SQL override in the Source Qualifier or Lookup, then enable SQL override and set the mapping to pushdown. This pushes that logic down to the database. Other transformations inherit pushdown settings. More info
What type of cache is required for a transactional lookup with persistent cache?
Static lookup without cache
Connected lookup with non-persistent cache
Dynamic Lookup with Persistent cache enabled
Unconnected lookup with no cache
Transactional lookups require dynamic cache to track insert and update operations. Enabling persistent cache keeps the cache on disk between runs for faster reloads. This setup supports incremental lookups. More info
How can you monitor row-by-row data lineage in Informatica?
Enable Data Lineage in session properties
Turn on verbose logging
Run pmrep describe
Use Repository Manager queries
Data Lineage can be enabled in session properties to track row-level lineage across transformations. This feature records the source of each data element. It is useful for auditing and impact analysis. More info
Which transformation would you use for complex row coordinate calculations?
Expression
Java Transformation
Aggregator
Router
The Java Transformation allows you to write custom Java code to perform complex logic that isn't possible with built-in transformations. It compiles dynamically at runtime. This is ideal for advanced calculations. More info
How do you handle rejected rows in an Informatica session?
Discarded silently by Integration Service
Redirect them to a flat file with reject filepath defined
Stored only in session log
They are written to the repository automatically
You configure a reject file path in session properties to capture rows that fail constraints or Update Strategy logic. Rejected rows are written to the specified flat file for review. You can also set error logging options. More info
Which Informatica tool would you use to compare differences between two repositories?
Repository Manager's Compare feature
Workflow Monitor
PMCMD utility
PowerCenter Designer
Repository Manager includes a Compare feature that allows you to compare objects between two repositories or between a repository and an export file. It highlights differences in object definitions. This is useful for migration and impact analysis. More info
How can you improve performance when loading large data volumes?
Enable partitioning and bulk loading options
Limit session logs
Move Lookup to end of mapping
Use filter transformation on target
Using partitioning and database bulk loading options significantly improves throughput for large data volumes. Partitioning parallelizes data flows across multiple threads. Bulk loading bypasses database logging for faster inserts. More info
What method is used to call a mapping within another mapping?
Workflow call task
Pre-session command
Parameter file
Mapplet or reusable mapping call
You can call reusable mappings inside other mappings using the mapplet or reusable mapping object. This encapsulation lets you modularize mapping logic. Workflows and sessions remain separate entities. More info
Which integration service parameter controls number of rows read per fetch?
BufferBlockSize
MaxSessions
MaxMemory
CommitInterval
BufferBlockSize sets the size of data buffer blocks used by the Integration Service to read from the source or write to the target. Adjusting this parameter can optimize throughput. Smaller or larger blocks may be needed depending on database and network characteristics. More info
In a mapping, how do you implement complex lookup logic requiring multiple inputs?
Use a Router transformation
Use multiple Lookup transformations
Use a Procedure transformation with SQL
Use a Filter transformation
The Procedure transformation allows you to write stored procedure calls or custom SQL to perform complex operations like multi-input lookups. It executes in the database for maximum efficiency. This avoids multiple lookups in the mapping. More info
How do you capture row-level failure reasons for rejected rows?
Check session log only
Use a Router transformation
Enable error logging and write to error file
Use a Filter transformation
By enabling error logging in session properties and specifying an error file, Informatica writes each rejected row alongside the database error code and message. This helps in corrective action. Without it, you only get summary counts. More info
What approach is used for real-time data integration in Informatica?
Active transformation
PowerExchange CDC or messaging
Batch sessions
Router transformation
Real-time integration is achieved using PowerExchange Change Data Capture (CDC) or message-based architectures such as JMS. These capture changes as they occur and push them into Informatica for immediate processing. Batch modes are not real-time. More info
How do you create a custom transformation using Java SDK in Informatica?
Use the Java Transformation SDK and deploy JAR to server
Use an external procedure
Write Java code in Expression transformation
Convert mapping to plugin
Creating a custom Java Transformation involves using the Informatica Java Transformation SDK to define input/output ports and transformation logic, packaging it into a JAR, and deploying it on the Integration Service node. You then add it to mappings like any other transformation. More info
How can you implement multi-source transaction coordination in Informatica?
Use Partitioning option
Use Transaction Control transformation with commit and rollback logic
Use Pre-Session script
Enable two-phase commit in session properties
The Transaction Control transformation allows you to define commit and rollback points based on business logic, coordinating transactions across multiple sources or targets within a mapping. It overrides default commit behavior. More info
What strategies are used for repository failover in a high-availability deployment?
Multiple active integration services
Active-passive repository service with shared storage
Clustered workflow manager
Multi-master domain
In high availability setups, Informatica uses an active-passive Repository Service connected to shared storage or a database cluster. If the active service fails, the passive takes over with minimal downtime. Integration Services automatically reconnect. More info
How do you version-control mappings in Informatica using external tools?
Export mappings as XML and commit to Git or SVN
Use pmrep integrate
Use power exchange version control
Link repository to CVS directly
To version-control, you export mappings and other objects as XML files and store them in external version control systems like Git or SVN. This provides branching, tagging, and auditing of changes. You can re-import from version control when needed. More info
Which API allows programmatic control of repository objects in Informatica?
Metadata Exchange (MX) API
Web Services Hub
Dynamic Object API
PowerCenter SDK
The Metadata Exchange (MX) API lets you programmatically access and manipulate repository metadata, including objects and their properties. It's part of the Informatica SDK for advanced automation. More info
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Study Outcomes

  1. Understand Core ETL Concepts -

    By taking this Informatica Certification Practice Test, you will grasp fundamental ETL workflows, transformations, and mappings central to data integration.

  2. Apply Data Warehousing Principles -

    Engage with Informatica data warehousing quiz questions to practice designing and optimizing data pipelines for real”world BI scenarios.

  3. Analyze BI Use Cases -

    Tackle Informatica certification sample questions that challenge you to select the right transformations and workflows for business intelligence needs.

  4. Evaluate Your Exam Readiness -

    Measure your performance by reviewing quiz results and benchmarking your knowledge against typical Informatica certification requirements.

  5. Identify Knowledge Gaps -

    Pinpoint areas of strength and topics needing improvement to streamline your Informatica exam prep strategy.

  6. Build Confidence with Practice -

    Demonstrate proficiency and build confidence by repeatedly tackling Informatica BI practice exam questions under simulated test conditions.

Cheat Sheet

  1. Understanding ETL Workflow and Session Fundamentals -

    Mastering workflows and sessions is critical for organizing and executing ETL tasks in Informatica PowerCenter. According to Informatica's official documentation, a workflow groups Control and Session tasks to define execution sequences, while Session properties control mapping execution details like source and target connections. A quick mnemonic - "Workflow Controls, Session Executes" - can help you remember these roles during your Informatica exam prep.

  2. Key Transformations: Expression, Lookup, Joiner, and Aggregator -

    The Expression transformation lets you perform row-wise calculations using built-in functions, while Lookup and Joiner enable data enrichment by fetching related records from reference tables. Aggregator supports summary operations like SUM and AVG, which are essential for BI reporting as noted in industry journals like TDWI publications. Use the acronym "ELJA" (Expression, Lookup, Joiner, Aggregator) to recall core transformations when tackling Informatica certification sample questions.

  3. Optimizing Performance with Caching and Partitioning -

    Performance tuning in Informatica often involves optimizing cache settings for Lookup and Aggregator transformations and implementing partitioning to parallelize data flows, as recommended in the Informatica PowerCenter Performance Tuning Guide, which is crucial during an Informatica Certification Practice Test. For instance, increasing the Lookup cache size can reduce database hits, speeding up ETL jobs in high-volume BI scenarios. A handy formula - "Cache Size = (Source Row Count × Row Size) + 1MB" - can help set initial cache parameters.

  4. Data Warehousing Concepts: Star Schema and Slowly Changing Dimensions -

    Understanding star and snowflake schemas is vital for designing BI solutions; fact tables connect to dimension tables in a star schema, simplifying queries as per TDWI best practices. Slowly Changing Dimensions (SCD) types 1, 2, and 3 manage attribute history - SCD2, for example, uses surrogate keys to track row versioning. A mnemonic like "Keep, Track, Overwrite" can help differentiate SCD types on your Informatica data warehousing quiz.

  5. Managing Repositories and Version Control -

    Efficient repository management ensures organized metadata and secure version control across development, test, and production environments, as outlined in the Informatica PowerCenter Administration Guide. Utilize object version labels and folders to track changes and support team collaboration for your Informatica BI practice exam prep scenarios. For a quick tip, adopt the "Folder-Label-Comment" routine when checking in objects to maintain clear audit trails.

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