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IBM Cloud Pak for Data v4.7 Architect Sample Questions:
Which components of IBM Cloud Pak for Data are essential for implementing an end-to-end data science workflow?
- A. Decision Optimization and Streams
- B. Watson Studio and Watson Machine Learning
- C. Watson Knowledge Catalog and DataStage
- D. Data Refinery and Watson Studio
Correct Answer: B 🗳️
Which architectural consideration is crucial when deploying IBM Cloud Pak for Data on Red Hat OpenShift to ensure high availability?
- A. Storage class performance
- B. Pod colocation
- C. Resource quotas
- D. Network latency
Correct Answer: A 🗳️
How does Watson Assistant support voice interaction?
- A. By analyzing tone and emotion in user's voice inputs
- B. By providing real-time translation services for multilingual support
- C. By converting text responses to voice using text-to-speech (TTS) technology
- D. By directly connecting to telephony systems without additional integration
Correct Answer: C 🗳️
In Db2 services, why is it important to establish routes effectively when exposing REST APIs?
- A. To increase the complexity of the API structure
- B. To prevent any external access to the APIs
- C. To ensure APIs are unreachable for enhanced security
- D. To provide predictable and organized access paths
Correct Answer: D 🗳️
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system.
What is needed to integrate any supported vault systems into Cloud Pak for Data?
- A. Fully qualified URL of the vault.
- B. Client certificate to authenticate to the vault.
- C. Username and password of the vault.
- D. Client key in .key or .pem format to authenticate to the vault.
Correct Answer: A 🗳️
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