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Exam C1000-173 Assessment, New C1000-173 Test Notes
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| 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.
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| Topic 2 |
- 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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| Topic 3 |
- 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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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q65-Q70):
NEW QUESTION # 65
Which option is supported for backing up and restoring Cloud Pak for Data on a FIPS-enabled cluster?
- A. Online backup and restore to a different cluster
- B. Watson Backup Assistant
- C. Snap and Restore Tool
- D. Online backup and restore to the same cluster
Answer: D
Explanation:
For Cloud Pak for Data deployed on a FIPS-enabled cluster, the supported method for backup and restore is the online backup and restore to the same cluster. This method ensures that the data and configuration remain compliant with FIPS encryption standards. Offline and cross-cluster restore methods are not supported under FIPS constraints due to strict requirements around key handling and encryption. The Snap and Restore Tool and Watson Backup Assistant are not applicable to this context.
NEW QUESTION # 66
Which Watson Pipeline component puts a value in columns so it can be consumed by DataStage?
- A. Set User Variables
- B. Initialize User Values
- C. Prepare User Parameters
- 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 # 67
What is a primary advantage of using Watson Pipelines in AI solution architecture?
- A. Isolating data silos
- B. Decreasing the transparency of data processing
- C. Providing end-to-end data processing automation
- D. Reducing data integrity
Answer: C
NEW QUESTION # 68
What outcomes can be achieved from Match 360?
- A. Produces statistics and graphs to let users analyze and explore master data.
- B. Produces a AI based dashboard to let users analyze business data.
- C. Uses a dialog format to talk with your data to get insights.
- D. Connect disparate data sources to provide a virtual view of your data.
Answer: A
Explanation:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data. It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).
NEW QUESTION # 69
Which plug-in is used by the Cloud Pak for Data Audit Logging service to forward audit records to a SIEM system?
- A. Logstash output
- B. Apache Kafka output
- C. OSS/J
- D. Fluentd output
Answer: D
Explanation:
The Audit Logging service in IBM Cloud Pak for Data uses Fluentd as the core log forwarding mechanism.
Fluentd output plug-ins are configured to route audit logs to external SIEM systems such as Splunk or QRadar. These plug-ins are versatile and support multiple formats and transport protocols. Other options listed-like Logstash, OSS/J, or Kafka-are not the designated default forwarding mechanisms used within the CP4D Audit Logging architecture.
NEW QUESTION # 70
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