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Teradata TDVCL2 - Associate VantageCloud Lake 2.0 Exam

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Total 51 questions

Which Object File System table clause improves performance by grouping similar values into objects?

A.

GROUP BY

B.

MAP

C.

INDEX

D.

ORDER BY

Which component of VantageCloud Lake permits the administrator to manage users?

A.

Object File System

B.

Console

C.

Compute Group

D.

Session Manager

What is the primary use of the acquisition layer?

A.

Provide shared views and services to help deliver data

B.

Organize data based on specific business needs

C.

Promote reuse and cross-functional usage of data through common relationships

D.

Retain source data in original formats

Which feature can be used to give access to the same objects to multiple users?

A.

Roles

B.

Ownership privileges

C.

Profiles

D.

External authentication

How can VantageCloud Lake be accessed?

A.

Console SQL Editor

B.

ClearScape AnalyticsTM Assistant

C.

Ecosystem Manager

D.

Vantage Jukebox

When work runs in a Computer Cluster, what does the Compute Cluster do with the result set?

A.

Results are placed in Native Object Store.

B.

Results are placed in Object File System.

C.

Results are sent to the Session Manager.

D.

Results are sent to the Primary Cluster.

Which command-line utility can be used to perform data transformation in-database?

A.

Console

B.

SQLA

C.

BTEQ

D.

Studio

Which analytic language is supported in-database by ClearScape AnalyticsTM?

A.

IScala

B.

R

C.

Ruby

D.

Julia

What is a capability of workload management?

A.

Prioritize memory usage for the system

B.

Uses rules to control system performance

C.

Provide data fabric that spans multiple systems

D.

Determine what the SLA should be for critical work

What is a reason for deploying a data lake architecture?

A.

Secure the environment by restricting the analytic programming languages to R and Python.

B.

Ensure modeled and structured data is used to answer all business questions.

C.

Capability to access data with the latest open source and commercial analytic technologies.

D.

Eliminate data preparation required on alternative architectures for analytic model creation.