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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Plan for a Cloud Pak for Data Implementation: This section of the exam measures the skills of an Implementation Consultant and covers determining which Cloud Pak for Data services to deploy based on organizational needs. It involves sizing the Kubernetes OpenShift cluster appropriately for workload demands and planning backup and restore strategies to ensure data protection. Planning for high availability and disaster recovery is essential to maintain uninterrupted service. Multi-tenancy requirements must be understood to support multiple user groups securely on shared infrastructure. Migration requirements need assessment to transition existing data and workloads smoothly.
Topic 3	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 4	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q181-Q186):

NEW QUESTION # 181
What is a Data Refinery flow in Cloud Pak for Data?

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

Answer: A

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 # 182
In DataStage, how is workload management typically achieved?

A. By prioritizing workloads based solely on data volume
B. Through an automated, policy-driven approach
C. By manually distributing tasks across nodes
D. By employing external workload management tools

Answer: B

NEW QUESTION # 183
Which component must be enabled in order to render business lineage when installing IBM Knowledge Catalog?

A. Automated metadata lineage
B. Knowledge graph
C. Data graph
D. Data quality

Answer: B

Explanation:
Business Lineage and Knowledge Graph: IBM Knowledge Catalog leverages a Knowledge Graph to store and visualize the relationships between various assets, including data assets, governance artifacts (like business terms), and the flow of data. Business lineage, which shows the end-to-end journey of data in business terms, relies heavily on these interconnected relationships within the Knowledge Graph. Documentation Confirmation: IBM's documentation explicitly states: "To view lineage, you can have any role in a catalog. Optional This feature is not available by default. Knowledge graph must be installed with IBM Knowledge Catalog, IBM Knowledge Catalog Premium, or IBM Knowledge Catalog Standard. For information on installing knowledge graph, see Specifying additional installation options in the IBM Software Hub documentation." (Source: IBM Documentation on Lineage). It further clarifies, "Enable knowledge graph to gain access to the lineage feature, business-term relationship search, and the relationship explorer."

NEW QUESTION # 184
When planning an environment for multiple Cloud Pak deployments, what is crucial?

A. Combining all user data into a single deployment for ease of access
B. Ignoring the specific needs and scale of each deployment
C. Tailoring resource allocation and access controls per deployment
D. Ensuring all deployments share the same resources

Answer: C

NEW QUESTION # 185
The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month.
Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

A. Job Log Retention (log_retention)
B. Job Count (JobCount)
C. ETL/ELT Mode (ETL, ELT, or Hybrid)
D. Auto-scaling (computePodsMin, computePodsMax)
E. Job Configuration File (APT_CONFIG_FILE)

Answer: B,D

NEW QUESTION # 186
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