Question 1

A company needs to prepare and cleanse its data to be used to develop a predictive model. They have decided to use DataStage because they already have the service installed from a previous project. Which statement describes how they can use DataStage?

ACreate a transformation job that imports data from a virtual table created by the Data Virtualization service

BPerform automatic conversion of the data types to inferred data types, such as integer, date, or boolean

CView the profile of the data, such as the frequency and statistics, to identify the type of model to use

DCreate a business catalog that can be used with the rules for data transformation

Answer : A

Question 2

Which statement is true about Cloud Pak for Data as a Service?

AAll services are included with Cloud Pak for Data as a Service.

BCloud Pak for Data as a Service is not a fully managed service.

CCloud Pak for Data as a Service may include features that differ from customer-managed environments.

DAll services within Cloud Pak for Data as a Service are compliant with all regulations.

Answer : C

Question 3

OpenPages can increase the operational efficiency of Data Science teams by automating which two processes?

AModel Approval and Risk Assessment

BModel Debiasing

CModel Deployment and Monitoring

DAudit and Resource Management

EData Masking and Security Management

Answer : C, D

Question 4

How does Column Analysis assign business terms to columns?

ABy examining eleven different Quality Dimensions as represented in the Data Quality Dashboard

BBy reading Column Names as listed in the Master Column Index in Watson Knowledge Catalog

CBy using machine learning to compare the content of each column against the business terms in Watson Knowledge Catalog

DBy performing a comparison of the data asset schema with the logical data model stored in Watson Knowledge Catalog

Answer : C

Question 5

Which statement describes quality in Al models?

AA drop in quality does not cause any harm to the business decisions made.

BSmall variations in quality may cause the wrong decision to be made.

CThe Al algorithm itself will compensate for the drop in quality of the data at runtime.

DQuality of decisions in an Al model is not so significant for multi-classification models.

Answer : D

Free Practice Questions for IBM C1000-136 Exam

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