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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Operational Readiness and Scalability	15%	- Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes
Topic 2: Architect with Data Governance Services	20%	- Leverage knowledge accelerators and governance frameworks - Design knowledge catalog and data discovery solutions - Implement data privacy and regulatory compliance architectures
Topic 3: Architect with Data Source and Integration Services	18%	- Architect with watsonx.data and Db2 services - Implement data virtualization solutions - Design data replication and integration architectures
Topic 4: Security and Compliance Architecture	22%	- Plan certificate management and secure communications - Design identity and access management - Secure data exchange and integration - Implement auditing and compliance controls
Topic 5: Plan for a Cloud Pak for Data Implementation	25%	- Size and design OpenShift/Kubernetes infrastructure - Assess requirements and select appropriate services - Design for multi-tenancy and migration - Plan backup, restore, high availability and disaster recovery

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q145-Q150):

NEW QUESTION # 145
What is a key security feature to manage for data stores in Watson Assistant?

A. Data encryption both at rest and in transit
B. Biometric access controls for system administrators
C. Two-factor authentication for user logins
D. Physical security of data centers

Answer: A

NEW QUESTION # 146
Why is it crucial to understand the benefits of watsonx.data over traditional data warehouses?

A. To limit scalability and flexibility
B. To reduce data processing speed
C. To leverage advanced analytics and machine learning capabilities
D. To maximize data storage costs

Answer: C

NEW QUESTION # 147
How does IBM Data Virtualization aid in the creation of a Data Fabric?

A. It is a replication tool that brings data from all sources together in one location.
B. It allows data engineers to customize access to data across multiple data sources, then publish the resulting objects in a catalog.
C. It suspends access to a data source once a usage threshold is exceeded.
D. It uses AI to predict where data will be used and relocated data for the best performance.

Answer: B

NEW QUESTION # 148
Which of the following is watsonx.data most similar to?

A. A combination of data warehouse and data lake
B. A data warehouse only
C. A transactional database
D. A data lake only

Answer: A

Explanation:
watsonx.data is an open hybrid data lakehouse platform, combining the strengths of a data lake (flexibility and cost efficiency for unstructured data) with the structured query and performance features of a data warehouse. It is designed to handle both analytics and large-scale data storage, making it a hybrid solution rather than exclusively a data lake or data warehouse.

NEW QUESTION # 149
After importing IBM Knowledge Accelerator assets using an API endpoint, what change must be made before the assets can be used by the appropriate users?

A. Ensure a shared credential has been configured.
B. Add collaborators to the Knowledge Accelerators categories.
C. Ensure the user permission role is active.
D. Add users to the Knowledge Accelerators security group.

Answer: B

Explanation:
After importing IBM Knowledge Accelerator (KA) assets using an API (or other methods), those assets -- such as categories, terms, and relationships -- are part of governance artifacts in Cloud Pak for Data. However, to make them usable by specific users, you must assign collaborators to the relevant categories.
This ensures users have the appropriate permissions (e.g., to view, curate, or manage terms) within the Information Governance Catalog (IGC) or Watson Knowledge Catalog.

NEW QUESTION # 150
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