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[General] C1000-173 Reliable Test Dumps, Pdf C1000-173 Files

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【General】 C1000-173 Reliable Test Dumps, Pdf C1000-173 Files

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IBM C1000-173 Exam Syllabus Topics:
TopicDetails
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 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
  • 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
  • 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 (Q174-Q179):NEW QUESTION # 174
In the context of Watson Assistant, what purpose do storage classes serve?
  • A. Determine the latency and throughput for data access
  • B. Impact the font size of stored data
  • C. They categorize storage by color only
  • D. Are only relevant for aesthetic classification
Answer: A

NEW QUESTION # 175
Which Watson Pipeline component puts a value in columns so it can be consumed by DataStage?
  • A. Set User Variables
  • B. Prepare User Parameters
  • C. Initialize User Values
  • D. Instantiate User Columns
Answer: A
Explanation:
In Watson Pipelines, the component that enables users to define and assign values that can be referenced later in the pipeline-including by downstream components like DataStage-is Set User Variables. This component allows the user to create name-value pairs and store them as environment variables, which are accessible to DataStage and other execution blocks. This ensures dynamic parameter passing and enhances pipeline reusability. The other options listed do not correspond to valid Watson Pipeline components as defined in the official Cloud Pak for Data 4.7 release.

NEW QUESTION # 176
Comparing data replication with an ETL tool, which feature is exclusive to data replication concerning real-time data changes?
  • A. Batch processing of data changes
  • B. Deferred data update capabilities
  • C. Immediate data synchronization
  • D. Reduced data consistency
Answer: C

NEW QUESTION # 177
Which potential problem can Watson OpenScale detect and mitigate?
  • A. Complex rule set
  • B. Drift
  • C. Limited storage capacity
  • D. New data overwrites
Answer: B
Explanation:
Watson OpenScale includes advanced monitoring capabilities for deployed AI models, including drift detection. Data drift refers to changes in input data distributions over time, which can degrade model performance. OpenScale continuously compares incoming data to the original training data to detect deviations and alert users when retraining may be required. It does not manage storage, data overwrites, or rule-based systems, making option B the only correct choice.

NEW QUESTION # 178
Why would an organization implement the data privacy capabilities of Cloud Pak for Data?
  • A. It hides owner information for specific datasets.
  • B. It restricts access to sensitive data.
  • C. It provides trusted, consistent data.
  • D. It prevents unauthorized access to the platform.
Answer: B
Explanation:
The primary goal of the data privacy capabilities in IBM Cloud Pak for Data is to restrict access to sensitive data such as personally identifiable information (PII), financial records, or protected health information. This is achieved using Data Protection Rules, dynamic masking, and policy enforcement across services like IBM Knowledge Catalog and Data Virtualization. It ensures compliance with data governance policies and external regulations. While trusted data and platform security are important, those are addressed by other services and features.

NEW QUESTION # 179
......
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