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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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.
Topic 4	Architect with Analytic Services: This domain targets a Data Analytics Architect and focuses on designing solutions using analytic components of Cloud Pak for Data. Architecting with DataStage involves creating data integration and ETL pipelines. Data Refinery architectures prepare and cleanse data for analysis. Db2 Big SQL solutions address querying large distributed data sets with SQL, facilitating analytics across diverse data sources.

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Free PDF IBM - C1000-173 - Professional IBM Cloud Pak for Data v4.7 Architect Reliable Exam Testking

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q148-Q153):

NEW QUESTION # 148
An enterprise architect in a financial institute is deciding on the deployment option for Cloud Pak for Data on their existing OpenShift Container Platform cluster. They have decided to use an automated deployment option and install Cloud Pak for Data from the cloud provider's marketplace. What are the limitations they may face with this decision?

A. Cloud Pak for Data cannot be installed on an existing cluster.
B. Automatic installation cannot be done for any of the Cloud Pak for Data services.
C. Partial installation of the Cloud Pak for Data has to be done manually for the first time installation.
D. Cloud Pak for Data operators cannot be co-located with the IBM Cloud Pak foundational services operators.

Answer: C

Explanation:
Partial installation of Cloud Pak for Data must be done manually during the first-time installation, especially when the installation is performed from the cloud provider's marketplace. Certain steps in the installation process may need to be done manually, such as the configuration of services or additional customization needed for the specific environment.

NEW QUESTION # 149
What is a benefit of utilizing the IBM Data Virtualization service?

A. Workloads can bypass data source security for faster execution.
B. Data can be copied to the platform quickly and easily.
C. Discover and classify sensitive information.
D. Access to many different data sources can be governed centrally.

Answer: D

Explanation:
As mentioned previously, IBM Data Virtualization provides a single governed access point for data residing across heterogeneous systems. It reduces data movement by creating virtualized views, enabling organizations to query multiple sources seamlessly while adhering to centralized security and governance policies. This capability supports analytics and reporting without duplicating or moving data.

NEW QUESTION # 150
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)

A. Training the AI model with domain-specific data
B. Increasing the physical memory of the server
C. Increasing the physical memory of the server
D. Setting up feedback loops for continuous improvement

Answer: A,D

NEW QUESTION # 151
Which of the following strategies are crucial for planning an effective backup and restore process in a Cloud Pak for Data environment?

A. Regular backup scheduling
B. Automated backup validation
C. Real-time data mirroring
D. Multi-region storage replication

Answer: A,B

NEW QUESTION # 152
How does the IBM Data Virtualization service virtualize files in shared directories?

A. A remote connector is installed and run on the source server.
B. Administrators configure FTP connections to the file source.
C. Users add shared file systems in the UI.
D. It scans its network for open file shares.

Answer: A

Explanation:
To virtualize files that reside in shared directories (e.g., NFS, SMB, or other on-premises sources), IBM Data Virtualization uses a remote connector agent. This remote connector is installed and executed on the source server to enable secure access and metadata extraction.
The service does not scan networks automatically nor rely on FTP. Directly adding file shares via the UI is not sufficient without the backend connector in place, which acts as a secure communication bridge.

NEW QUESTION # 153
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