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2025 IBM C1000-173: Authoritative Dump IBM Cloud Pak for Data v4.7 Architect Check

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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 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.

Topic 3

Security Requirements: This domain targets a Security Architect and focuses on planning security for a Cloud Pak for Data deployment. It includes managing certificates that secure communications, identity management systems, and access and authorization controls to enforce secure and compliant user and service interactions. The auditing features and their integration with enterprise audit systems are crucial to ensure traceability and accountability. Asset interchange security involves safeguarding data movement between services.

Topic 4

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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q25-Q30):

NEW QUESTION # 25
An architect is working with a team to configure Dynamic Workload Management for a single DataStage instance on Cloud Pak for Data.
Auto-scaling has been disabled and the maximum concurrent jobs has been set to 5.
What will happen if a sixth concurrent job is executed?

A. The sixth job will fail and will need to be restarted.
B. The sixth job will queue until one of the other concurrent jobs completes.
C. The sixth job will start if resources are available and will automatic.

Answer: B

Explanation:
InIBM Cloud Pak for Data version 4.7, when configuring Dynamic Workload Management (DWM) for IBM DataStage, the system controls job concurrency based on the maximum concurrent jobs setting and auto- scaling configuration.
* Withauto-scaling disabled, the system does not add or remove DataStage engine pods dynamically to handle workload changes.
* Themaximum concurrent jobssetting limits the number of jobs that can run simultaneously on a single DataStage instance.
* If the number of concurrent jobs reaches the maximum limit (in this case, 5), any additional job requests (such as the sixth job) willnot fail immediately; instead, these jobs are placed in aqueue.
* The queued jobs remain pending until one of the running jobs completes, freeing up capacity for the next job to start.
This queuing behavior ensures workload stability and prevents resource exhaustion by enforcing the concurrency limit strictly when auto-scaling is turned off.
Exact extract from IBM Cloud Pak for Data 4.7 documentation:
"When auto-scaling is disabled, the maximum concurrency limit set on the DataStage instance controls how many jobs can run simultaneously. Jobs submitted beyond this limit are queued and wait for running jobs to complete before starting execution."
-IBM Cloud Pak for Data v4.7, DataStage Dynamic Workload Management section References:
IBM Cloud Pak for Data 4.7 Documentation - DataStage and Dynamic Workload Management IBM Knowledge Center for Cloud Pak for Data v4.7: https://www.ibm.com/docs/en/cloud-paks/cp-data/4.7?
topic=management-dynamic-workload

NEW QUESTION # 26
Which of the following best explains the business impact of integrating Watson Assistant into customer service operations?

A. It escalates the operational costs significantly.
B. It decreases the necessity for human interaction in customer service.
C. It increases the complexity of the IT infrastructure.
D. It reduces the overall user satisfaction.

Answer: B

NEW QUESTION # 27
In Db2 services, why is it important to establish routes effectively when exposing REST APIs?

A. To provide predictable and organized access paths
B. To ensure APIs are unreachable for enhanced security
C. To increase the complexity of the API structure
D. To prevent any external access to the APIs

Answer: A

NEW QUESTION # 28
What can be used to deliver business-ready data to feed AI and analytics projects?

A. Watson Machine Learning Accelerator on Cloud Pak for Data
B. Watson Machine Learning for Cloud Pak for Data
C. IBM Knowledge Catalog for Cloud Pak for Data
D. IBM Data Catalog for Cloud Pak for Data

Answer: C

Explanation:
IBM Knowledge Catalog is the core governance and cataloging service within Cloud Pak for Data that enables the delivery of trusted, business-ready data to AI and analytics pipelines. It provides data lineage, metadata management, access policies, and quality scores, ensuring data consumers use curated and compliant data. Watson Machine Learning and its accelerator are focused on model training and inference, while IBM Data Catalog is a former term replaced by Knowledge Catalog in recent versions.

NEW QUESTION # 29
What is the primary goal of High Availability in computing environments?

A. To ensure a system operates at its peak capacity
B. To reduce the efficiency of backup processes
C. To minimize downtime and prevent data loss
D. To maximize system downtime

Answer: C

NEW QUESTION # 30
......

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