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    Free Practice Questions for Cloudera CDP Data Analyst (CDP-4001) Certification

    Guide checked for updates:
    18 Sep 2026
    Question bank created:
    30 Jul 2026
    Question bank last updated:
    11 Aug 2026

    Study with 391 exam-style practice questions designed to help you prepare for the Cloudera CDP Data Analyst (CDP-4001).

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    Exam Details

    Key information about Cloudera CDP Data Analyst (CDP-4001)

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    exam code:

    CDP-4001

    passing score:

    60%

    delivery method:

    Online, proctored

    target audience:

    Data analysts who use Cloudera products

    allowed resources:

    None

    time limit minutes:

    120

    number of questions:

    50

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    1: Use Cloudera Data Visualizations

    1.1: Understand Data Visualizations

    Understand Data Visualizations

    1.2: Build a Dashboard

    Build a Dashboard

    2: Use Apache Hive and Impala

    2.1: Identify databases/tables within Impala that you need to pull data from

    Identify databases/tables within Impala that you need to pull data from

    2.2: Format and convert data types

    Format and convert data types

    2.3: Join tables

    Join tables

    2.4: Work with primary and foreign keys

    Work with primary and foreign keys

    3: Use Apache Ranger and Atlas

    3.1: Inspect lineage in Apache Atlas

    Inspect lineage in Apache Atlas

    3.2: Understand that Access Policies in Apache Ranger

    Understand that Access Policies in Apache Ranger

    3.3: Understand that the role of a Data Steward

    Understand that the role of a Data Steward

    4: Use Apache Hive and Impala SQL

    4.1: Create new tables or views

    Create new tables or views

    5: Calculator aggregate statistics

    5.1: Work with aggregate functions

    Work with aggregate functions

    6: Hive and Impala Optimization

    6.1: Understand the use of Pushing the filter condition

    Understand the use of Pushing the filter condition

    6.2: Understand the use of Bucketing

    Understand the use of Bucketing

    6.3: Understand how File format Optimization

    Understand how File format Optimization

    6.4: Work with Compute Stats

    Work with Compute Stats

    7: Data Management and Storage

    7.1: Understand where/how the data is stored/accessed in HDFS

    Understand where/how the data is stored/accessed in HDFS

    7.2: Understand the ways to store query results into a table or directory

    Understand the ways to store query results into a table or directory

    7.3: Different between External and Managed tables

    Different between External and Managed tables

    7.4: Use partitioning

    Use partitioning

    8: Cloudera Data Warehouse

    8.1: Understand how to manage virtual warehouse

    Understand how to manage virtual warehouse

    8.2: Understand the Use of Data Catalog Service

    Understand the Use of Data Catalog Service

    Techniques & products

    Cloudera Data Visualizations
    Cloudera Data Warehouse
    Apache Hive
    Apache Impala
    Apache Ranger
    Apache Atlas
    HDFS
    SQL
    Data Catalog Service
    Virtual Warehouse
    Data Steward
    Access Policies
    Data Lineage
    Data Types
    Table Joins
    Primary Keys
    Foreign Keys
    Aggregate Functions
    Filter Condition Pushdown
    Bucketing
    File Format Optimization
    Compute Stats
    Partitioning
    External Tables
    Managed Tables
    Dashboard Creation

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