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IBM Data and AI: Data and AI IBM Cloud Pak for Data V4.7 Architect

IBM Cloud Pak for Data V4.7 Architect

Last Update Feb 2, 2026
Total Questions : 63

To help you prepare for the C1000-173 IBM exam, we are offering free C1000-173 IBM exam questions. All you need to do is sign up, provide your details, and prepare with the free C1000-173 practice questions. Once you have done that, you will have access to the entire pool of IBM Cloud Pak for Data V4.7 Architect C1000-173 test questions which will help you better prepare for the exam. Additionally, you can also find a range of IBM Cloud Pak for Data V4.7 Architect resources online to help you better understand the topics covered on the exam, such as IBM Cloud Pak for Data V4.7 Architect C1000-173 video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic IBM C1000-173 exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

How does the IBM Data Virtualization service virtualize files in shared directories?

Options:

A.  

Users add shared file systems in the UI.

B.  

It scans its network for open file shares.

C.  

Administrators configure FTP connections to the file source.

D.  

A remote connector is installed and run on the source server.

Discussion 0
Questions 3

Which option is supported for backing up and restoring Cloud Pak for Data on a FIPS-enabled cluster?

Options:

A.  

Online backup and restore to the same cluster

B.  

Snap and Restore Tool

C.  

Watson Backup Assistant

D.  

Online backup and restore to a different cluster

Discussion 0
Questions 4

Which type of OpenShift route configuration supports client certificate authentication?

Options:

A.  

Edge

B.  

Re-encrypt

C.  

Passthrough

D.  

Re-encrypt with a custom certificate

Discussion 0
Questions 5

Which Db2 Big SQL component uses system resources efficiently to maximize throughput and minimize response time?

Options:

A.  

Hive

B.  

Scheduler

C.  

Analyzer

D.  

StreamThrough

Discussion 0
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