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Latest C1000-173 Mock Exam | C1000-173 Test Book

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q143-Q148):

NEW QUESTION # 143
What is Data Refinery best described as?

A. A physical data storage enhancement tool
B. A graphical interface for database management
C. A tool for enhancing network security
D. A data integration and transformation tool

Answer: D

NEW QUESTION # 144
A Cloud Pak for Data installation was initially deployed on Microsoft Azure via the automated deployment option. What can be used to upgrade the environment?

A. GitHub Repo
B. Cloud Providers Marketplace
C. Command Line Interface (CLI)
D. PowerShell

Answer: C

Explanation:
For environments deployed via automated cloud options (such as Azure or AWS), upgrades are performed using the Command Line Interface (CLI). The CLI allows administrators to pull the latest operators, update foundational services, and upgrade installed services. The cloud marketplace is used only for initial provisioning, not for upgrades. PowerShell and GitHub repositories are not used as upgrade mechanisms within the official CP4D deployment lifecycle.

NEW QUESTION # 145
What is a key method to achieve multi-tenancy within a single instance of Cloud Pak for Data?

A. Utilizing shared namespaces for all tenants
B. Combining data from all tenants
C. Utilizing shared namespaces for all tenants
D. Ignoring resource quotas

Answer: C

NEW QUESTION # 146
What is a significant advantage of using Db2 services in a cloud environment?

A. Decreased processing speed
B. Enhanced data security
C. Reduced physical storage requirements
D. Limited data scalability

Answer: C

NEW QUESTION # 147
Which type of search allows Watson Discovery to find the most relevant material in documents?

A. Link
B. Total
C. Faceted
D. Keyword

Answer: D

Explanation:
Watson Discovery employs advanced natural language processing and ranking algorithms that begin with keyword-based search. This type of search enables the tool to locate and return the most relevant document passages based on the presence and context of keywords in user queries. While it may also use metadata filters (facets), the core retrieval method remains keyword-driven to find relevance at both document and passage levels.

NEW QUESTION # 148
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