IBM C1000-136 Exam Practice Test Instant Access

Question 1

An energy company is creating an ML model to predict when there will be extra demand on the energy grid so preventative action can be taken to reduce usage leading up to the predicted event. The model is being monitored using OpenScale in Watson Studio.

Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?

AObtain an understanding of the model predictions

BEnsure quality in the feedback data

CReduce drift in the model

DMitigate bias, including implicit bias, that humans may have

Answer : C

Question 2

Continuous intelligence considers what two types of data?

AStreaming

BBatch

CHistorical

DDiagnostic

EPredictive

Answer : A, C

Question 3

Which two can be promoted to a deployment space?

APlatform connections

BData Refinery flows and dependent assets

CSaved machine learning models

DUnsaved machine learning models

EPlanning Analytics Workspace

Answer : B, C

Promoting assets to a deployment space

The following assets can be promoted to a deployment space:

Saved models

Data assets for use in model deployments

Data refinery flows and dependent assets

Connections defined in your project

Scripts

Functions

Shiny apps

https://www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0?topic=functions-deployment-spaces

Question 4

Which two types of custom workflows are supported by Watson Knowledge Catalog?

AGovernance Artifact workflows

BNew Employee workflows

CCode Review workflows

DSecurity workflows

ERequest workflows

Answer : A, D

Question 5

Cognos Analytics integrates with which data science offering?

AApache Spark

BJupyter Notebooks

CRStudio

DDecision Optimization

Answer : D

Question 6

Which two tools work with Jupyter notebooks in Cloud Pak for Data?

AZeppelin

BJupyter Lab
C SPSS Modeler

DNotebook Editor

EData Refinery

Answer : B, D

Question 7

What does it mean when a project in the Data Quality Dashboard shows a low quality percentage of 50%?

AThe data assets have failed data quality analysis along half of the quality dimensions.

BHalf of the data assets contained in the project have fallen below the configured threshold during quality analysis.

C50% of the data contained in the examined assets is bad.

DOnly 50% of the data in each asset has been reviewed for data quality.

Answer : B

IBM C1000-136 IBM Cloud Pak for Data v4.x Solution Architecture Exam Practice Test