IBM Cloud Pak for Data v4.x C1000-136 Actual Exam Questions Online

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Going to take C1000-136 IBM Cloud Pak for Data v4.x Solution Architecture certification exam with the IBM C1000-136 actual exam questions online. C1000-136 exam is for the IBM Certified Solution Architect – Cloud Pak for Data v4.x certification. The actual C1000-136 exam has 63 practice exam questions and answers. IT students need to answer 42 or more correctly to make sure they get success in the IBM C1000-136 exam. Choosing C1000-136 exam questions is recommend, and below are the IBM C1000-136 free demo questions.

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1. In Cloud Pak for Data, what is a primary use case for implementing data governance information architecture?

Wireless data ingestion

Software lifecycle management

Data center automation

Data modernization

2. Which two use cases can be delivered via Cognos Analytics?

Prescriptive Analytics

Descriptive Analytics

Cognitive Analytics

Diagnostic Analytics

Planning Analytics

3. When using Azure ML service with Watson OpenScale, which file format must be used for web service deployments?

XML

CSV

JSON

YAML

4. A customer has data in an Oracle database and wants to sync their data assets to Watson Knowledge Catalog's default catalog .

What type of connection do they need to add in the Information Assets view?

RDP connection

SFTP connection

JDBC connection

HTTPS connection

5. What are two event severity levels within Cloud Pak for Data?

Minor - Monitored resources sometimes behave as expected

Warning - Monitored resources have reached a warning threshold

Major - Monitored resources always created warnings

Critical - Monitored resources are unstable

Exception - Monitored resources are experience periodic warnings

6. What is the purpose of an Industry Accelerator?

Industry accelerators are architectural frameworks for planning your next data warehouse.

Industry accelerators provided by third parties are data files used to complement data.

Industry accelerators are methodologies to cleanse and manage data while making it available across an organization.

Industry accelerators provided by IBM are a set of artifacts that help address common business issues.

7. What is a data fabric?

A data lake technology that addresses cloud data challenges

A process to address on-premises data challenges

An architecture that addresses distributed data challenges

A pre-scripted process to address machine learning data challenges

8. 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?

Obtain an understanding of the model predictions

Ensure quality in the feedback data

Reduce drift in the model

Mitigate bias, including implicit bias, that humans may have

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

Governance Artifact workflows

New Employee workflows

Code Review workflows

Security workflows

Request workflows

10. Which is required to connect a Cloud Pak for Data analytics project to an external Git repository?

Encryption bearer token

Personal access token

Self-signed certificate

SSL certificate

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11. Which statement describes the process to integrate Cloud Pak for Data with Guardium?

The Guardium administrator works with the Cloud Pak for Data admin to allow the automatic auditing of any data that goes through both systems.

The Cloud Pak for Data administrator creates the secret that is needed to connect to Guardium and informs the Data Steward users to label the data for auditing.

The Cloud Pak for Data administrator works with the Guardium administrator to integrate the platform and then inform the Data Steward users to add the assets for auditing into the Guardium groups when they review the discovery results.

The Guardium administrator sets up the auditing groups and grants access to the Data Steward to add the data they want to audit.

12. Which two can be promoted to a deployment space?

Platform connections

Data Refinery flows and dependent assets

Saved machine learning models

Unsaved machine learning models

Planning Analytics Workspace

13. Which statement is true about data profiling?

Parquet and CSV files can be profiled.

A profile examines each row of a data asset.

Cataloged assets must be selected manually to initiate profiling.

Only asset owners can see the profile of an asset.

14. Which statement is true about drift in OpenScale?

Drift detection is supported for both structured and unstructured data

Classification models support both data and accuracy drift

Drift is supported for Python functions

Regression models support both data and accuracy drift

15. What Cloud Pak for Data service can be deployed with Cognos Analytics to leverage data governance policies?

Watson Knowledge Catalog

Data Management Console

DataStage

Db2 Warehouse

16. Within Watson Knowledge Catalog, which two are data policies?

Obfuscate patient diagnosis codes

Mask patient diagnosis codes for certain Data Stewards

Protect access to Personally Identifiable Information (Pll) Data

Mask customer account number for Data Stewards users within Cloud Pak for Data

Protect access to Private Health Information (PHI) Data

17. Several Db2 connections have been created on a Cloud Pak for Data platform .

What must be done to monitor the metrics of these databases?

Create virtualized tables using Data Virtualization

Create a Cognos dashboard with the databases

Add the database into the business catalog with Watson Knowledge Catalog

Select the database from the Data Management Console page

IBM Cloud Pak for Data v4.x C1000-136 Actual Exam Questions Online

IBM Cloud Pak for Data v4.x C1000-136 Actual Exam Questions Online

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