Data quality has become crucial for organizations across industries. As businesses rely heavily on data-driven decision-making, the need for professionals skilled in IDQ (Informatica Data Quality) has increased significantly. This article discusses some of the important IDQ interview questions and answers. This set of questions are created by MindMajix experts after conducting in-depth research and consulting recruiters from top companies.
If you're looking for IDQ Interview Questions for Experienced or Freshers, you are in the right place. There are a lot of opportunities from many reputed companies in the world. According to research, IDQ has a market share of about 1.0%. So, You still have the opportunity to move ahead in your career in IDQ Analytics. Mindmajix offers Advanced IDQ Interview Questions 2023 that helps you in cracking your interview & acquire a dream career as an IDQ Analyst.
It is the transformation to validate I/P data with reference data of the address to ensure accuracy. It can fix issues if found any.
Publishing SSR on Web / New - Thru HTML file
Yes, we can export an object from IDQ to the Powercenter tool.
The following components are installed while installing Informatica power center:
The main use of stored procedure transformation is because it is a vital tool for maintaining and populating databases within the environment.
It decreases the performance and productivity when compared to the static cache
The static cache is a process where it just inserts the data all the time. It doesn’t matter how many times the data is coming through, all it cares about is just inserting the data.
The throughput option is found in the Informatica workflow monitor.
Within the workflow monitor, right-click on the session, then click on the run properties.
Under source/target statistics we can find the throughput option.
With the help of the target designer, we will be able to create a Target definition.
A group of workflow tasks accumulated in a set is nothing but classified as a “worklet”. Within the workflow tasks, the following are included:
OLAP stands for Online Analytical Processing.
It is defined as a method in which multidimensional analysis occurs.
Control M is an alternative tool for scheduling processes other than workflow manager pmcmd.
The different tools available in workflow manager are:
Workflow can be defined as a set of instructions that are intended to communicate to the server and let it know how to implement the tasks.
A user-defined event is nothing but a flow of tasks in the workflow process.
These events can be created and raised as on when there is a need associated with them.
As the name itself suggests that the event is predefined.
It is nothing but a file watch event. Within this process, it will wait for a certain file to arrive at a specific location.
The standalone command task can be used anywhere within a workflow process to execute the shell commands.
A session task is defined as a bunch of instructions that are guided towards a power center server which ultimately defines when to transfer the data from the source to the targets.
If you have to do the session partition then you need to start configuring the session to partition to source data and then you have to install the Informatica server machine on a different CPU. I.e. multifold CPUs.
A surrogate key is nothing but a replacement of the primary key within the database.
It is considered to be a unique identification factor for each row within a table.
It is very helpful because the primary key can change and thus makes it a difficult process to update the data, but not with the surrogate key.
A surrogate key is always in the form of a digit or an integer.
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A mapplet is nothing but a recyclable object which uses a mapplet designer.
Mapplet permits to reuse of the transformation logic in different mappings.
A mapplet consists of a set of transformations.
In Informatica, they are two types of loading:
1. Normal loading
2. Bulk loading
Normal loading is a process where the records are loaded one by one and it writes a log for the same. When compared to other types of loading normal loading the loading process takes time to the target source.
Bulk loading is a process where a set of records are loaded into the target database at once. When compared to the normal loading process, the bulk loading process takes very little time to load the data.
The aggregator is nothing but a function that stores all the data in the aggregator cache until and unless it deals with all the aggregate calculations.
So when you are executing a session in which you are using an aggregator transformation, the Informatica server will automatically start creating indexes and data caches in the memory to accommodate and process the transformation.
It is a known fact that the Informatica server needs more space, it stores the overflow values in all the cache files.
The term transformation itself depicts the nature of the activity. It is a repository object where it generates, modifies, and passes the data.
The following are different types of transformations that are available in Informatica:
1. Aggregator transformation
2. Expression transformation
3. Filter transformation
4. Joiner transformation
5. Lookup transformation
6. Normalizer transformation
7. Rank transformation
8. Router transformation
It is a process it changes the number of rows that have gone through the mapping. This process is called Active transformation
Some of the Active transformations are:
It is a process where it doesn’t change the number of rows that have gone through the mapping. This process is called as Passive transformation.
Some of the Passive transformations are:
Target load order is nothing but a list of all activities where one can define the priority. Based on this priority the data will be loaded into the Informatica server.
If you have a list of source qualifiers connected to multiple targets then you can define the order or dictate an order to the Informatica server so that the data can be loaded into the targets.
Yes, you can join two flat files together using joiner transformation.
Joiner transformation is an active and connected transformation where it is primarily used to join two sources of data. The source of data can be from one origin or it can be from two different origins
They are three types of dimensions that are available:
Slow changing dimensions are those where the dimensions are meant to be changed over overtime. The slow-changing dimensions are noted as SCD.
They are three different types of slowly changing dimensions, they are:
A parameter file is nothing but a file that is created in a text editor or a word pad. The following different values can be defined in a parameter file, they are:
1. Mapping parameters
2. Mapping variables
3. Session parameters
Mapping in the Developer tool also includes the following features:
You can validate a mapplet as a rule. A rule is business logic that defines conditions applied to source data when you run a profile. You can validate a mapplet as a rule when the mapplet meets the following requirements:
In PowerCenter, you create a source definition to include as a mapping source. You create a target definition to include as a mapping target. In the Developer tool, you create a physical data object that you can use as a mapping source or target.
The PowerCenter application services and PowerCenter application clients use the PowerCenter Repository Service. The PowerCenter repository has folder-based security. The other application services, such as the Data Integration Service, Analyst Service, Developer tool, and Analyst tool, use the Model Repository Service. The Model Repository Service has project-based security. You can migrate some Model repository objects to the PowerCenter repository.
The Power Center Integration Service is an application service that runs sessions and workflows.
The Data Integration Service is an application service that performs data integration tasks for the Analyst tool, the Developer tool, and external clients. The Analyst tool and the Developer tool send data integration task requests to the Data Integration Service to preview or run data profiles, SQL data services, and mappings. Commands from the command line or an external client send data integration task requests to the Data Integration Service to run SQL data services or web services.
The PowerCenter application services and PowerCenter application clients use the PowerCenter Repository Service. The PowerCenter repository has folder-based security.
The other application services, such as the Data Integration Service, Analyst Service, Developer tool, and Analyst tool, use the Model Repository Service. The Model Repository Service has project-based security.
You can migrate some Model repository objects to the PowerCenter repository.
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Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
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