Vantage

Analytics Exam

About the exam

Covers features and functionality of Vantage Release 1.1 and the Advanced SQL Engine through release 16.20.

This exam establishes that the candidate has the knowledge and skills necessary to use specified Vantage functions, effectively contextualize data, create and communicate compelling and actionable insights from data, and apply analytics/visualization techniques for the investigation of all relevant data. FAQs related to this exam and certification can be found here.

Registration information

Register for the Vantage Analytics Exam

Starting February 17, 2021, to register for the Vantage Analytics Exam, visit home.pearsonvue.com/teradata and select exam TDVAN2 Vantage Analytics Exam. Candidates are able to register and take the Analytics Exam either in a Pearson Vue test center or remotely, at their home or office. FAQs and additional information on this option are available. There are no prerequisites to take this exam.

Exam details
Exam objectives
Exam prep

Recertification requirements

The Vantage Analytics certification does not expire.

Duration

To be determined.

Credentials

Successful completion of this exam will earn you a Vantage Certified Analytics certification with a digital badge.

Prerequisites

There are no prerequisites for the Analytics Exam.

recommended experience

The audience for this exam is business analysts, financial analysts, reporting analysts, QA analysts, marketing analysts, research analysts, industry consultants, and business consultants. We would expect the successful candidate to have 2-3 years of experience in one of these job roles and have education or equivalent in basic statistics and a basic understanding of SQL.

Cost

The cost of the Teradata Analytics exam is $299. Please visit home.pearsonvue.com/teradata for details. Bulk discount vouchers for 10 or more exams can be purchased through Pearson VUE.

For more details regarding specific exam objectives, download this PDF.

Data management and governance - 21%

Focuses on key areas of data demographics, access, quality and transformation.

Data visualization and presentation - 20%

Focuses on effectively generating and presenting data using appropriate visualization types and formats.

statistical techniques - 19%

Focuses on measures, correlations, significance and relationships of data.

data analytics methods and algorithms - 23%

Focuses on key data methods and functions for text, path, session, time and filter analysis.

validation and evaluation - 17%

Focuses on techniques to validate and evaluate model performance and charts.

Preparing for your exam

Analytics Learning Tool available here.
PDF Version of Analytics Learning Tool

Software downloads

Available through Teradata Developers Exchange to help you prepare with hands on application.

Teradata employees only

Visit the Teradata internal Teradata Certification SharePoint site for more information on recommended Teradata training. You must be logged in to the Teradata network.

Sample questions

To be added.

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