Cloudera CDP Data Analyst Exam CDP-4001 Certification Practice 250 Questions & Answer: Includes 250 Practice Questions
About this ebook
This guide, presented by QuickTechie.com, serves as a comprehensive resource for individuals preparing for the CDP Data Analyst Exam (CDP-4001). It is specifically designed for data analysts seeking to validate their proficiency with essential Cloudera skills and knowledge required for success in their role. The content focuses on the practical application of Cloudera products, including Cloudera Data Visualization and Cloudera Data Warehouse, alongside key Apache components such as Hive, Impala, Ranger, and Atlas.
The guide details the structure and requirements of the CDP-4001 exam. This exam consists of 50 questions and has a duration of 120 minutes. A passing score of 60% is required. The exam is delivered online and is proctored. Candidates should review system requirements for the online proctoring platform, QuestionMark. It is strictly noted that no external resources are permitted during the exam, including reference materials, white papers, user guides, or any other aids. For support regarding the exam or this guide, contact via email is specified.
The core of this guide, as outlined by QuickTechie.com, covers the specific skills and knowledge measured by the CDP-4001 exam, detailing the weighting of each topic:
Use Cloudera Data Visualizations (10%): Covers understanding data visualizations and the process of building dashboards within the Cloudera environment.
Use Apache Hive and Impala (20%): Focuses on identifying necessary databases and tables within Impala for data extraction, formatting and converting data types, joining tables, and working with primary and foreign keys.
Use Apache Ranger and Atlas (10%): Includes inspecting lineage information in Apache Atlas, understanding Access Policies within Apache Ranger, and recognizing the role of a Data Steward.
Use Apache Hive and Impala SQL (8%): Details the creation of new tables or views using Hive and Impala SQL.
Calculator aggregate statistics (20%): Emphasizes working with aggregate functions to compute statistical summaries.
Hive and Impala Optimization (12%): Explores techniques for optimizing performance, including understanding the use of pushing filter conditions, bucketing, file format optimization, and working with compute stats.
Data Management and Storage (10%): Addresses understanding how data is stored and accessed in HDFS, methods for storing query results into tables or directories, differentiating between External and Managed tables, and utilizing partitioning.
Cloudera Data Warehouse (10%): Covers understanding how to manage virtual warehouses and the use of the Data Catalog Service within the Cloudera Data Warehouse context.
This guide from QuickTechie.com provides the essential information on the exam's scope, format, and the specific technical areas candidates must master to successfully achieve the CDP Data Analyst certification.
