Informatica MDM Interview Questions and Answers

Are you ready for the Informatica Master Data Management (MDM) interview? Do you intend to study MDM principles as well? Are you curious about how to be ready for an Informatica MDM interview? If so, read this post for a comprehensive list of Informatica MDM questions and answers that you received during the MDM interview. The rationale behind the interview questions is also covered in full in this post. Explore our Informatica course syllabus and get started on your data science career.

What does the phrase MDM mean?

Master Data Management, or MDM, is a comprehensive approach that is essential for businesses to group all of their important data into one master file. In addition to improving data consistency across numerous organizational sectors, this master file serves as a fundamental point of reference.

Tell us about the many basic stages of data warehousing.

The evolution of data warehousing can be divided into four stages: integrated data warehousing,  real-time data warehouses, offline data warehouses, and offline operational databases. To support effective business operations, each phase denotes a different stage in the management and processing of data. Get expertise with our data warehousing syllabus.

What does the term “dimensional modeling” mean?

The distinctive structure of dimensional modeling in data warehousing sets it apart from the third normal form. Fact tables, which quantify business operations, and dimension tables, which give these measurements context, make up the majority of the table types.

What do fact tables mean?

One of the main components of data warehousing is a fact table, which stands out for storing metrics and quantitative information about business operations. It is the central component of the star or snowflake schema and is connected to dimension tables via foreign keys.

What is transformation?

In the context of data integration, transformation is the process of altering and improving data. A transformation in Informatica is a repository object that manipulates data to enable its transfer and alteration following business requirements.

What exactly are the dimensional tables’ foreign columns?

Foreign key tables in data warehousing equate to primary keys in dimension tables. Conversely, in dimension tables, foreign keys often relate to primary keys in entity tables, forming a relational structure.

What are some methods for removing duplicate records from Informatica?

Duplicates in Informatica can be eliminated by utilizing techniques such as combining and aggregating information, applying SQL queries with particular conditions, or utilizing the ‘select distinct’ option in the source qualifier.

Describe the Informatica PowerCenter for us.

One well-known ETL (Extract, Transform, Load) tool for creating enterprise data warehouses is Informatica PowerCenter. It efficiently manages data extraction from many sources, transformation according to business objectives, and input into destination systems.

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What steps are in the Informatica MDM process?

Complex processing is applied to the data from several sources, and Informatica’s processes include:

Landing: Information is pulled into the MDM landing tables from the source system. 

Staging: After being cleaned and standardized, all of the data from the landing tables is moved to the MDM staging tables. 

Load: Information is gathered and entered into the BO table from the staging table.

Tokenization: To create match tokens, the tokenization procedure is utilized after the match rules have been configured. 

Match: The matching procedure is essential to matching the records.

Consolidation, also known as merging, is the process of combining all of the matched records into one.

What Kinds of Locks Are Employed in Informatica MDM 10.1?

Informatica MDM 10.1 uses two types of locks. They’re As:

Exclusive Lock: Allowing Only One User to Perform Changes to the Fundamental Operational Reference Store.

Write Lock: Allowing Several Users to Write Modifications to the Basic Metadata at the Very Same Time.

What is a schema in Informatica MDM?

The Schema is characterized as a record design used to create a Siperian Hub. A Siperian Hub does not carry any specific schema. The Siperian Hub is both structured and unique.

What are the components of Informatica PowerCenter?

The following are the different components of Informatica PowerCenter:

• PowerCenter Domain
• PowerCenter Repository
• Administration Console
• PowerCenter Client
• Repository Service
• Integration service
• Web Services Hub
• Data Analyzer
• Metadata Manager
• PowerCenter Repository Reports

What is OLAP?

OLAP is an acronym for Online Analytical Processing. This function collects, handles, operates, and displays multidimensional data for research and administration purposes.

OLTP can be expanded to Online Transaction Processing. This system is a function that modifies the data it receives and has multiple concurrent users.

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What are the techniques for loading Data Dimensional tables?

The many methods to load data into dimension tables are:

Conventional: All tricks and restraints are validated against the information before loading, ensuring record integrity.

Direct: All restraints and trickery are removed right before records are packed. Once documents are loaded, they are checked against all of the keys and constraints. If data is discovered to be invalid, it will almost definitely be excluded from the index. This data serves as the foundation for all subsequent operations.

How do the pre- and post-session shell commands work?

A command task may be contacted before or after a session to cover the demand for a session task. Individuals may use it as a pre-session order, a post-session effectiveness demand, or even a post-session dropping demand. Shell command usage may be modified or updated, depending on the use case.

Define the Informatica MDM termbase object.

The MDM base item defines center organization facilities such as items, staff, customers, accounts, and so on. The base items function as an endpoint for combining data from multiple systems. The Schema Manager is the only tool you need for defining basis objects. It is impossible to set up the database.

How much do you know about Activity Manager in Informatica MDM?

Informatica Activity Manager (AM) integrates master data, examines data events, and provides significant views of activity and reference data from various sources. The following features are available through the activity manager:

The activity manager promotes the integration of owner information in the Informatica hub with other bodies’ negotiable and analytical data.

The activity manager monitors record changes in the Informatica MDM hub as well as other negotiable requests. Assume any modifications contributed to the records. In that instance, it will be synchronized with all other bodies as well.

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Explain the Hierarchy Manager (HM) in Informatica MDM.

Whatever the usage, provide information to MRM and store connection records throughout the master data. Similarly, each data mart and warehouse is designed to display relationships for specific goals.

What is Mapplet?

A mapplet is a recyclable object that has a collection of changes and may be recycled in a variety of applications.

What items cannot be used in a mapplet?

OBOL source definition

Joiner Transformations

Normalizer transformations.

Transformations of the sequence generator that cannot be reused.

Pre or post-session stored routines

Target definitions

Power Mart 3.5 Styles Look-up functions

XML source definitions

IBM MQ Source Definitions

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What role do ‘Cleanse Functions’ play in MDM?

MDM’s ‘Cleanse Functions’ are essential for enhancing the quality of data. By performing particular transformations on the incoming data, they enable data standardization, correction, and enhancement. These changes can be as basic as removing white spaces or as complicated as validating and correcting addresses. Organizations may guarantee the accuracy, consistency, and dependability of their master data by employing cleansing functions.

Explain the ‘Consolidation Indicator’ in MDM

Every entry in the MDM Base Object tables has a specific flag connected to it, called the Consolidation Indicator. It offers information about the record’s beginnings. It can say, for example, if a record was made by hand, came from another system, or was the outcome of a merger. Knowing the ‘Consolidation Indicator’ facilitates data openness and lineage tracing.

Which MDM Hub user roles are there?

Several user roles in MDM Hub allow you to grant and restrict access according to responsibilities:

Admin: Complete command over the hub’s operations and configuration.

Data Steward: Usually responsible for responsibilities related to data quality, such as examining and managing possible match pairs or inconsistencies in the data.

Developer: Some administrative control but not complete access to responsibilities connected to development.

Analyst: Typically engaged in data analysis, profiling, and quality assurance but unable to modify setups.

How are unmerged operations handled by Informatica MDM?

The purpose of unmerge operations in Informatica MDM is to undo a merge that has already been carried out. When a merge is undone, the combined record is deleted and the original records are returned to their pre-merge condition. Data integrity and lineage are maintained by audit trails, which guarantee that all operations—including unmerges—are tracked.

What function does the MDM repository manager perform?

Users can control the MDM Hub repository with the help of MDM’s Repository Manager. This involves setting up, establishing, and disabling Operational Reference Stores (ORS).

It also offers features for managing user-defined cleanse lists, importing and exporting metadata, and more. In essence, it serves as the MDM metadata management administration interface.

How is data security ensured by Informatica MDM?

In MDM, data security is crucial. Informatica MDM uses some methods to guarantee data security, including:

• Role-based access control ensures that users can only view and edit information that is pertinent to their roles.
• Audit trails: Keep track of all modifications, assist with data lineage, and point out unlawful ones.
• Encryption: To prevent breaches, data is encrypted both in transit and at rest.

What role does hierarchy management play in MDM?

In MDM, hierarchical management offers an organized perspective of data elements and their connections. This is important in situations where connection comprehension is necessary, such as parent-child relationships in product categories or organizational systems. Organizations may see, manage, and analyze these hierarchies with Informatica MDM’s hierarchy management feature, which provides insights that can influence business choices.

What does the Operational Reference Store (ORS) in the MDM Hub mean?

Within the MDM Hub, the Operational Reference Store (ORS) serves as the main repository. Base objects, staging tables, and landing tables are unique to each ORS.

By allowing organizations to manage several master data sets within a single MDM Hub instance, the main objective is to provide flexibility and separation between different projects or initiatives.

How is data lineage supported by the MDM Hub?

In MDM, data lineage is the process of following data from its source to the end destination within the MDM system. The Consolidation Indicator, versioning, audit trails, and other features of the MDM Hub facilitate data lineage. MDM guarantees openness and confidence in master data by documenting the data’s source, transformation, and modifications.

Describe the match strategy of the MDM Hub.

In the MDM Hub, “match strategy” refers to the extensive set of guidelines and settings that control the process of identifying possible duplicates.

Determining match columns, match rules, match key distribution, and other elements are all part of this method.

Organizations can regulate the granularity and accuracy of the matching process and achieve optimal deduplication outcomes by fine-tuning the match strategy.

In real-time integrations, what function does the Services Integration Framework (SIF) serve?

Real-time communication between external apps and systems and the MDM Hub is facilitated by a set of APIs provided by SIF. SIF makes it possible to do tasks like data retrieval, insert, update, and delete straight from external apps. This makes it easier to integrate data in real-time and guarantees that MDM data is consistently up to date-and synced throughout the organization.

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