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IBM C1000-136 Exam Topics

• Machine learning Operations 16%
• Build Data Science algorithms 14%
• Analystics 17%
• Integration, Implementation, Deployment, and Scaling 10%
• Cloud Pak for Data Artechitecure 21%

IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions (Q32-Q37):

NEW QUESTION # 32
Which protocol can be used to encrypt communications to and from IBM Cloud Pak for Data?

• A. SSL
• B. SHA
• C. SSH
• D. AES

Answer: A
NEW QUESTION # 33
How does Column Analysis assign business terms to columns?

• A. By reading Column Names as listed in the Master Column Index in Watson Knowledge Catalog
• B. By performing a comparison of the data asset schema with the logical data model stored in Watson Knowledge Catalog
• C. By examining eleven different Quality Dimensions as represented in the Data Quality Dashboard
• D. By using machine learning to compare the content of each column against the business terms in Watson Knowledge Catalog

Answer: D
NEW QUESTION # 34
What is the minimum number of worker nodes required on a production level Cloud Pak for Data Red Hat OpenShift cluster?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: A Explanation:
Explanation
A production-level cluster must have at least 3 worker nodes, but you might need to deploy additional worker nodes to support your workload.
NEW QUESTION # 35
What is the purpose of an Industry Accelerator?

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

Answer: B
NEW QUESTION # 36
What are two rungs of IBM's Al ladder?

• A. Analyze
• B. Store
• C. Develop
• D. Collect
• E. Secure

Answer: A,D
NEW QUESTION # 37
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