C1000-136 実際試験問題と解答 - 模擬練習 - 受験自信を増やす

Question No : 1
Which statement describes the Analyze step in IBM's Al Ladder?

A.Cloud Pak for Data includes numerous services that generate scalable insight on demand.
B.Cloud Pak for Data helps connect to data, no matter where it lives.
C.Al becomes a part of the standard operating procedure for the enterprise.
D.The Watson Knowledge Catalog service classifies, governs and catalogs data.

正解:

Question No : 2
Several Db2 connections have been created on a Cloud Pak for Data platform.
What must be done to monitor the metrics of these databases?

A.Create virtualized tables using Data Virtualization
B.Create a Cognos dashboard with the databases
C.Add the database into the business catalog with Watson Knowledge Catalog
D.Select the database from the Data Management Console page

正解:

Question No : 3
Within Watson Knowledge Catalog, which two are data policies?

A.Obfuscate patient diagnosis codes
B.Mask patient diagnosis codes for certain Data Stewards
C.Protect access to Personally Identifiable Information (Pll) Data
D.Mask customer account number for Data Stewards users within Cloud Pak for Data
E.Protect access to Private Health Information (PHI) Data

正解:

Question No : 4
What Cloud Pak for Data service can be deployed with Cognos Analytics to leverage data governance policies?

A.Watson Knowledge Catalog
B.Data Management Console
C.DataStage
D.Db2 Warehouse

正解:

Question No : 5
Which statement is true about drift in OpenScale?

A.Drift detection is supported for both structured and unstructured data
B.Classification models support both data and accuracy drift
C.Drift is supported for Python functions
D.Regression models support both data and accuracy drift

正解:

Question No : 6
Which statement is true about data profiling?

A.Parquet and CSV files can be profiled.
B.A profile examines each row of a data asset.
C.Cataloged assets must be selected manually to initiate profiling.
D.Only asset owners can see the profile of an asset.

正解:

Question No : 7
Which two can be promoted to a deployment space?

A.Platform connections
B.Data Refinery flows and dependent assets
C.Saved machine learning models
D.Unsaved machine learning models
E.Planning Analytics Workspace

正解:
Explanation:
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 No : 8
Which statement describes the process to integrate Cloud Pak for Data with Guardium?

A.The Guardium administrator works with the Cloud Pak for Data admin to allow the automatic auditing of any data that goes through both systems.
B.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.
C.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.
D.The Guardium administrator sets up the auditing groups and grants access to the Data Steward to add the data they want to audit.

正解:

Question No : 9
Which is required to connect a Cloud Pak for Data analytics project to an external Git repository?

A.Encryption bearer token
B.Personal access token
C.Self-signed certificate
D.SSL certificate

正解:
Explanation:
An analytics project requires a personal access token to connect to an external Git repository.

Question No : 10
Which Cloud Pak for Data service allows users to visualize data without writing any code?

A.Watson Studio
B.SPSS Modeler
C.R Shiny
D.Cognos Dashboards

正解:

Question No : 11
Cognos Analytics integrates with which data science offering?

A.Apache Spark
B.Jupyter Notebooks
C.RStudio
D.Decision Optimization

正解:

Question No : 12
Which two types of custom workflows are supported by Watson Knowledge Catalog?

A.Governance Artifact workflows
B.New Employee workflows
C.Code Review workflows
D.Security workflows
E.Request workflows

正解:

Question No : 13
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?

A.Obtain an understanding of the model predictions
B.Ensure quality in the feedback data
C.Reduce drift in the model
D.Mitigate bias, including implicit bias, that humans may have

正解:

Question No : 14
What is a data fabric?

A.A data lake technology that addresses cloud data challenges
B.A process to address on-premises data challenges
C.An architecture that addresses distributed data challenges
D.A pre-scripted process to address machine learning data challenges

正解:

Question No : 15
What is the purpose of an Industry Accelerator?

A.Industry accelerators are architectural frameworks for planning your next data warehouse.
B.Industry accelerators provided by third parties are data files used to complement data.
C.Industry accelerators are methodologies to cleanse and manage data while making it available across an organization.
D.Industry accelerators provided by IBM are a set of artifacts that help address common business issues.

正解:

IBM C1000-136 問題練習