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Frequently asked Informatica Interview Questions with detailed answers and examples. Tips and Tricks for cracking Informatica interview. Happy Informatica job. Do you want to download the question-answer set in PDF format for offline study? If yes, get the Master Informatica Question Answer Set. Informatica Interview Questions | Advanced Technical Topics | For freshers & Professionals | Free Informatica Interview Questions And Answers in the Lookup transformation like for example flat file, relational tables, synonym or view etc.
Command task can be called as the pre or post session shell command for a session task.
One can run it as pre session command r post session success command or post session failure command. Predefined event are the file-watch event. It waits for a specific file to arrive at a specific location. User defined event are a flow of tasks in the workflow.
Events can be developed and then raised as need comes. The group of directions that communicates server about how to implement tasks is known as work flow. The different tools in workflow manager are: Worklet is said when the workflow tasks are collected in a group. In workflow monitor we can find throughput option.
It is specified on the criteria of source qualifiers in a mapping. If there are many source qualifiers attached to various targets then we can entitle order in which informatica loads data in targets. Informatica is a tool, supporting all the steps of Extraction, Transformation and Load process. Now days Informatica is also being used as an Integration tool.
Informatica is an easy to use tool. It has got a simple visual interface like forms in visual basic. You just need to drag and drop different objects known as transformations and design process flow for Data extraction transformation and load. These process flow diagrams are known as mappings. Once a mapping is made, it can be scheduled to run as and when required.
The record set should be sorted on those columns that are used in Group By operation. It is often a good idea to sort the record set in database level e. Informatica Lookups can be cached or un-cached No cache. And Cached lookup can be either static or dynamic.
A static cache is one which does not modify the cache once it is built and it remains same during the session run.
On the other hand, A caches refreshed during the session run by inserting or updating the records in cache based on the incoming source data.
By default, Informatica cache is static cache. A lookup cache can also be divided as persistent or non-persistent based on whether Informatica retains the cache even after the completion of session run or deletes it. For this, we need to define the key in the target table in Informatica level and then we need to connect the key and the field we want to update in the mapping Target.
If the session properties are set correctly as described above, then the mapping will only update the customer address field for all matching customer IDs. Now Lookup can be configured as an active transformation — it can return multiple rows on successful match Now you can write SQL override on un-cached lookup also. Previously you could do it only on cached lookup You can control the size of your session log.
In a real-time environment you can control the session log file size or time Database deadlock resilience feature — this will ensure that your session does not immediately fail if it encounters any database deadlock, it will now retry the operation again.
You can configure number of retry attempts. Informatica jobs sessions can be arranged logically into worklets and workflows in folders. Leads to an ecosystem which is easier to maintain and quicker for architects and analysts to analyze and enhance.
Easier to identify and recover in case of failed jobs or slow running jobs. Examples — Power Exchange for Facebook, Twitter, etc which source data from such social media sources. Teradata over Informatica. Informatica ETL tool is market leader in data integration and data quality services. ETL refers to extract, transform, load. Data integration tools are different from other software platforms and languages.
They have no inbuilt feature to build user interface where end user can see the transformed data. Its GUI tool, Coding in any graphical tool is generally faster than hand code scripting.
User can apply Mappings, extract rules, cleansing rules, transformation rules, aggregation logic and loading rules are in separate objects in an ETL tool. Any change in any of the object will give minimum impact of other object. Availability of resource in the market. Can be run on Window and Unix environment.
InformaticaPowerCenter is an ETL tool used for extracting data from the source, transforming and loading data in to the target. The Extraction part involves understanding, analyzing and cleaning of the source data. Transformation part involves cleaning of the data more precisely and modifying the data as per the business requirements.
The loading part involves assigning the dimensional keys and loading into the warehouse. The problem comes with traditional programming languages where you need to connect to multiple sources and you have to handle errors. For this you have to write complex code.
ETL tools provide a ready-made solution for this. Career-oriented Training. Thanks for making this platform available. I hope to bring more people from Nigeria to embrace intellipaat as the bridge to filling the gaps in their career needs.
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Don't have an account? Sign up. Already have an account? Hurry up. Sign Up or Log In using. In this Informatica interview questions list you will learn about the top questions asked in the Informatica job interview. The topics you will learn include difference between a database and data warehouse, Informatica Workflow Manager, mapping parameter vs.
Learn Informatica from Intellipaat Informatica Certification course and fast-track your career. Data integration solution Step-by-step solution Project based integration solution Data transformation Good Excellent. Define Enterprise Data Warehousing? Differentiate between a database, and data warehouse? Become Informatica Certified in 42 hrs. Differentiate between a repository server and a powerhouse? In Informatica WorkFlow Manager, how many repositories can be created? Write the advantages of partitioning a session?
How we can create indexes after completing the load process? With the help of command task at session level we can create indexes after the load procedure. Define sessions in Informatica ETL. In one group how many number of sessions can we have? Differentiate between mapping parameter and mapping variable? What are the features of complex mapping?
How we can identify whether mapping is correct or not without connecting session? Can we use mapping parameter or variables developed in one mapping into any other reusable transformation?
What is the use of aggregator cache file? What is lookup transformation? What do you understand by term role playing dimension? How we can access repository reports without SQL or other transformations? Write the types of metadata those stores in repository? What is code page compatibility? At a time we can validate only one mapping. Hence mapping cannot be validated simultaneously. Define Aggregator transformation?
What is Expression transformation? Define filter transformation? Define Joiner transformation? The transformed data is later written to the targets.
Workflows: The processes of runtime ETL are described by a collection of different tasks are known as workflow. Workflows are designed in the Workflow Manager. Task: This is a set of actions, commands, or functions that are executable. How an ETL process behaves during runtime can be defined by a sequence of different tasks.
Which development components of Informatica have the highest usage? There are many development components in Informatica. However, these are the most widely used of them: Expression: This can be used to transform data that have functions. Lookups: They are extensively used to join data. Sorter and Aggregator: This is the right tool for sorting data and aggregating them.
Source qualifiers: Many people use this component to convert source data types to the equivalent Informatica data types.