C1000-173 Exam Online & C1000-173 Certification Practice

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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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q85-Q90):

NEW QUESTION # 85
What registry permissions does OpenShift cluster node require?

A. While the bastion node pushes to the private registry, only the worker nodes pull images.
B. All nodes must be able to push to and pull from the registry.
C. Only the bastion node should be able to reach the registry.
D. Only the master nodes ever require registry access.

Answer: B

Explanation:
In an OpenShift environment that hosts IBM Cloud Pak for Data, all cluster nodes-including master and worker nodes-must have access to the container registry to pull required images during deployment and runtime. In scenarios involving custom images, some nodes may also need to push to the registry. While the bastion node may initiate the setup or mirror images, it is not the only node involved. Therefore, all nodes should be configured with both pull and, where applicable, push access to the registry to ensure consistent deployment and operations.

NEW QUESTION # 86
What are tethered projects in the context of IBM Cloud Pak for Data?

A. Projects that restrict any form of data sharing
B. Standalone projects without any connection to other services
C. Projects that do not support multi-tenancy
D. Projects linked to a specific tenant and its resources within the platform

Answer: D

NEW QUESTION # 87
Why is it crucial to understand the benefits of watsonx.data over traditional data warehouses?

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

Answer: A

NEW QUESTION # 88
What is the significance of using platform connections in Data Replication on Cloud Pak for Data?

A. Complicates data integration processes
B. Isolates data environments
C. Enhances interoperability and ease of configuration
D. Decreases connectivity with data sources and targets

Answer: C

NEW QUESTION # 89
Which data processing engine is used for Data Privacy Masking flows?

A. dbt
B. Presto
C. DataStage
D. Spark

Answer: D

Explanation:
Data Privacy Masking flows in IBM Cloud Pak for Data utilize Apache Spark as the underlying data processing engine. Spark enables large-scale, distributed data masking operations for structured data, supporting high-performance transformations and compliance with privacy regulations. While DataStage can perform similar operations, the default and recommended engine for Data Privacy flows in CP4D is Spark.
dbt and Presto are not used for this masking functionality.

NEW QUESTION # 90
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