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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	Architect with Data Governance Services: This section evaluates skills of a Data Governance Specialist, covering the architecture of knowledge catalogs to enable data discovery and management. Data Privacy architectures ensure compliance with regulatory requirements around data protection. Knowledge Accelerators involve designing solutions that speed up data governance processes through predefined policies and templates.
Topic 2	Architect with Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
Topic 3	Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q106-Q111):

NEW QUESTION # 106
After installing Watson Assistant, which of the following tasks are crucial? (Select two)

A. Establishing a continuous integration pipeline
B. Setting up a blockchain network
C. After installing Watson Assistant, which of the following tasks are crucial?
D. Integrating with existing databases and applications

Answer: C,D

NEW QUESTION # 107
What signifies the business value of Db2/BigSQL?

A. Its ability to restrict data access to a limited number of users
B. Its role in reducing the graphical user interface quality
C. Its capacity to handle large volumes of data efficiently
D. Its function in increasing data processing time

Answer: C

NEW QUESTION # 108
What is a Data Refinery flow in Cloud Pak for Data?

A. A machine learning model.
B. A visualization tool.
C. An ordered set of data operations.
D. A data storage location.

Answer: C

Explanation:
A Data Refinery flow is an ordered sequence of data operations applied to tabular data for preparation, cleansing, and transformation. Users can create a series of steps such as filtering, joining, aggregating, and applying custom expressions. The flow is saved and can be rerun on updated datasets to ensure consistency in data preparation. It is not a storage system (A), an ML model (B), or a visualization tool (D).

NEW QUESTION # 109
Understanding instance limitations in Watson Assistant is critical for what reason?

A. To ensure compliance with data protection regulations
B. To prevent overutilization of computational resources
C. To maximize the performance of machine learning models
D. To optimize budget allocation for cloud resources

Answer: D

NEW QUESTION # 110
How many service instances can be provisioned for Watson Discovery at one time?

A. 0
B. 1
C. 2
D. 3

Answer: B

Explanation:
"You can create a maximum of10instances per deployment. After you reach the maximum number, the New instance button is not displayed in IBM Cloud Pak for Data."

NEW QUESTION # 111
......

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