TDVCL2 Associate VantageCloud Lake 2.0 Exam Questions and Answers

Compute Worker

Data Fabric

Compute Cluster

Auto-Scaling

Console

SQLA

BTEQ

Studio

Provide shared views and services to help deliver data

Organize data based on specific business needs

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

Retain source data in original formats

GROUP BY

MAP

INDEX

ORDER BY

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

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

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

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

IScala

R

Ruby

Julia

The integration that allows direct access to data already available in NOS

The requirement to use ClearScape Analyticswith the workload

The capability to manage the environment via Console

The ability to use Compute Clusters for intelligent scaling

Console SQL Editor

ClearScape AnalyticsTM Assistant

Ecosystem Manager

Vantage Jukebox

Disable system features and upgrades

Configure workloads based on profiles

Define primary cluster parameters

Adjustmonitor data collection settings

A virtual star or snowflake schema layered over detail data.

A virtual view that is layered over a metadata table.

A fallback schema view that is layered over detail data.

A view that provides the dimensions of the data in the table.

Secure Zones

External Authentication

Sparse Indexes

Row Level Security

Degree

Attribute

Tuple

Relation