Intelligent Informatica Data Manager Assessment Test

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About This Quiz

Informatica is a company founded in 1993, which produces software and cloud applications for enterprise cloud data management. Before being an Informatica data manager, take this quiz to know your responsibilities.

Intelligent Informatica Data Manager Assessment Test - Quiz

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  • 2. 
    What are the two types of dimensional tables? - ProProfs

    What are the two types of dimensional tables?

    • Coherent and incoherent table

    • True and false table

    • Convention and fact table

    • Dimension and fact table

    Correct Answer
    A. Dimension and fact table
    Explanation
    Dimension and fact tables are two types of dimensional tables commonly used in data warehousing. A dimension table contains descriptive attributes that provide context and categorization for the data in a fact table. It typically includes attributes such as dates, locations, products, and customers. On the other hand, a fact table contains the quantitative measures or metrics of the data, such as sales revenue, quantity sold, or profit. These two types of tables work together to provide a comprehensive view of the data and enable analysis and reporting in a data warehouse environment.

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  • 3. 
    Which of these is true of a mapplet? - ProProfs

    Which of these is true of a mapplet?

    • It is reusable

    • It is not reusable

    • It consists of join transformation

    • It has procedures

    Correct Answer
    A. It is reusable
    Explanation
    A mapplet is a reusable object in Informatica PowerCenter that contains a set of transformations. It can be used in multiple mappings and can be shared across different workflows. By being reusable, a mapplet saves development time and effort as it eliminates the need to recreate the same transformations in multiple mappings. It promotes efficiency and consistency in data integration processes.

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  • 4. 
    Data warehousing comprises ______ fundamental stages? - ProProfs

    Data warehousing comprises ______ fundamental stages?

    • 5

    • 7

    • 4

    • 2

    Correct Answer
    A. 4
    Explanation
    Data warehousing comprises four fundamental stages: data extraction, data transformation, data loading, and data retrieval. In the data extraction stage, data is gathered from various sources and consolidated. Then, in the data transformation stage, the gathered data is cleaned, standardized, and transformed into a format suitable for analysis. After that, in the data loading stage, the transformed data is loaded into the data warehouse. Finally, in the data retrieval stage, users can access and analyze the data stored in the data warehouse. Therefore, the correct answer is 4.

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  • 5. 
    All of these are different types of orders in collation except... - ProProfs

    All of these are different types of orders in collation except...

    • Case sensitive

    • Case insensitive

    • Numerical

    • Binary

    Correct Answer
    A. Numerical
    Explanation
    The given options represent different types of orders in collation. "Numerical" does not fit into this category as it refers to the ordering of numbers rather than text. The other options, "Case sensitive," "Case insensitive," and "Binary," all pertain to the ordering of text based on different criteria. Therefore, "Numerical" is the correct answer as it does not belong to the group of collation orders mentioned.

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  • 6. 
    Which of these allows systems admin to monitor events in SQL server? - ProProfs

    Which of these allows systems admin to monitor events in SQL server?

    • SQL agent

    • Sqoop

    • Hive

    • SQL profiler

    Correct Answer
    A. SQL profiler
    Explanation
    SQL profiler allows systems administrators to monitor events in SQL server. It is a tool provided by Microsoft that captures and analyzes SQL Server events such as queries, stored procedures, and database changes. It helps in identifying performance issues, troubleshooting problems, and optimizing the database. With SQL profiler, administrators can track and analyze the execution of SQL statements, identify slow-running queries, and monitor the usage of system resources. It provides valuable insights into the behavior and performance of the SQL server, making it an essential tool for monitoring and maintaining the database.

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  • 7. 
    All of these methods can be used to migrate from one Informatica environment to another except... - ProProfs

    All of these methods can be used to migrate from one Informatica environment to another except...

    • Copying files or folders

    • Exporting or importing repository

    • Cutting and pasting files or folders

    • Using Informatica deployment

    Correct Answer
    A. Cutting and pasting files or folders
    Explanation
    Cutting and pasting files or folders cannot be used to migrate from one Informatica environment to another because it does not provide a controlled and structured approach for migration. This method may lead to data loss or inconsistency as it does not handle dependencies and relationships between objects. The other methods mentioned, such as copying files or folders, exporting or importing repository, and using Informatica deployment, provide more reliable and efficient ways to migrate data and maintain data integrity.

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  • 8. 
    What are the two core concepts of Hadoop? - ProProfs

    What are the two core concepts of Hadoop?

    • RDBMS and HDFS

    • HDFS and MapReduce

    • HDFS and Mapplet

    • MapReduce and Mapplet

    Correct Answer
    A. HDFS and MapReduce
    Explanation
    The two core concepts of Hadoop are HDFS (Hadoop Distributed File System) and MapReduce. HDFS is a distributed file system that allows for the storage and processing of large datasets across multiple machines. It provides high fault tolerance and is designed to handle big data. MapReduce is a programming model used for processing and analyzing large datasets in parallel across a cluster of computers. It divides the data into smaller chunks, processes them independently, and then combines the results. Together, HDFS and MapReduce form the foundation of Hadoop's ability to store and process big data efficiently.

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  • 9. 
    Why do data managers make use of a data warehouse? - ProProfs

    Why do data managers make use of a data warehouse?

    • It does not slow down operations

    • It is capable of given answers

    • It is more affordable

    • It is more accurate

    Correct Answer
    A. It does not slow down operations
    Explanation
    Data managers make use of a data warehouse because it does not slow down operations. This means that the data warehouse is designed in such a way that it does not impact the performance of other systems or processes that rely on the data. By separating the operational systems from the reporting and analysis systems, the data warehouse ensures that the daily operations can continue smoothly without any interruptions or delays. This allows the data managers to access and analyze the data efficiently without affecting the overall performance of the organization.

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  • 10. 
    Which of these file formats is best suited for long term storage schema with Hadoop? - ProProfs

    Which of these file formats is best suited for long term storage schema with Hadoop?

    • CSV

    • JSON

    • Avro

    • Parquet

    Correct Answer
    A. Avro
    Explanation
    Avro is the best file format for long-term storage schema with Hadoop because it is a compact and efficient binary format that supports schema evolution. It allows for the addition or modification of fields without requiring the entire dataset to be rewritten. Avro also provides rich data structures, dynamic typing, and a compact binary encoding, making it suitable for storing large amounts of data in a distributed environment like Hadoop.

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  • Current Version
  • Mar 20, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Mar 18, 2018
    Quiz Created by
    Cripstwick
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