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IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions (Q57-Q62):

NEW QUESTION # 57
A company is looking to leverage machine learning and data science for self-reporting and analysis of customer churn. Which option has the greatest potential to give them a head start with implementation and leveraging Cloud Pak for Data?

• A. Implementing Cognos Analytics sourced from a Db2 star schema data mart
• B. Developing a customer data model that is imported into Watson Knowledge Catalog
• C. Implementing an Industry Accelerator
• D. Building a data lake to store all customer data

Answer: B
NEW QUESTION # 58
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. SSL certificate
• D. Self-signed certificate

Answer: B Explanation:
Explanation
An analytics project requires a personal access token to connect to an external Git repository.
NEW QUESTION # 59
What are two event severity levels within Cloud Pak for Data?

• A. Warning - Monitored resources have reached a warning threshold
• B. Exception - Monitored resources are experience periodic warnings
• C. Major - Monitored resources always created warnings
• D. Critical - Monitored resources are unstable
• E. Minor - Monitored resources sometimes behave as expected

Answer: A,D Explanation:
Explanation
https://www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0?topic=platform-monitoring-alerting
NEW QUESTION # 60
Which two can be promoted to a deployment space?

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

Answer: D,E Explanation:
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
NEW QUESTION # 61
Which statement is true about Cloud Pak for Data as a Service?

• A. Cloud Pak for Data as a Service is not a fully managed service.
• B. All services are included with Cloud Pak for Data as a Service.
• C. Cloud Pak for Data as a Service may include features that differ from customer-managed environments.
• D. All services within Cloud Pak for Data as a Service are compliant with all regulations.

Answer: C
NEW QUESTION # 62
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