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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	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 3	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 4	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 5	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 (Q96-Q101):

NEW QUESTION # 96
Which statement describes MPP (Massively Parallel Processing) Database architecture?

A. Two or more databases kept in sync via two-phase commit.
B. An analytics environment that improves performance by dividing the data across many nodes.
C. A transactional system which uses multiple nodes for maximum availability.
D. A data warehouse that needs all compute nodes to access a shared data store simultaneously.

Answer: B

Explanation:
MPP, or Massively Parallel Processing, is a database architecture model where data is divided and processed across multiple compute nodes in parallel. Each node works independently on a portion of the data, dramatically improving query performance and throughput for analytics workloads. This model is ideal for big data and analytical queries, not transactional workloads. It differs from shared-disk models or replication strategies like two-phase commit. The correct definition involves distributed data and parallel query execution, as described in option C.

NEW QUESTION # 97
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?

A. Data quality features in analytics projects and ETL
B. Advanced metadata export and lineage
C. Lineage and semantic search
D. Semantic search and metadata analysis

Answer: B

Explanation:
IBM Knowledge Catalog's Data Governance Express offering is a lightweight configuration meant for streamlined governance needs. It includes core capabilities like cataloging and basic lineage but does not support advanced metadata export or full-scale lineage visualization and tracking features. These advanced features are only available in the full IBM Knowledge Catalog service. The Express tier is designed for simpler use cases and quicker onboarding with limited governance overhead.

NEW QUESTION # 98
After installing Watson Assistant, which of the following tasks are crucial? (Select two)

A. Integrating with existing databases and applications
B. Establishing a continuous integration pipeline
C. Setting up a blockchain network
D. After installing Watson Assistant, which of the following tasks are crucial?

Answer: A,D

NEW QUESTION # 99
Which two Cloud Pak for Data services support the multi-tenancy mechanism of installing the service once and provisioning the workloads in tethered projects?

A. IBM Data Virtualization
B. Db2
C. Analytics Engine Powered by Apache Spark
D. Cognos Analytics
E. Watson Pipelines

Answer: A,C

Explanation:
Cloud Pak for Data supports service-level multi-tenancy by enabling some services to be installed centrally and then provisioned into user "tethered" namespaces (projects). In version 4.7, Analytics Engine (Apache Spark) and IBM Data Virtualization services support this tethered#project model: they can be installed once and then instantiated per project across multiple tenants. Core services like Db2, Cognos Analytics, and Watson Pipelines in 4.7 require installation per instance and do not yet support tethered#namespace provisioning via multi#tenant model.

NEW QUESTION # 100
When planning for the data management console in Db2, what functionality is crucial for effective database management?

A. Restricting user access to essential functionalities only
B. Avoiding integration with other Db2 services
C. Limited visibility over data and queries
D. Comprehensive monitoring and management features

Answer: D

NEW QUESTION # 101
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