Pass Your Exam With 100% Verified C1000-173 Exam Questions [Q78-Q97]

Pass Your Exam With 100% Verified C1000-173 Exam Questions

C1000-173 Dumps PDF - C1000-173 Real Exam Questions Answers

IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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.

 

NEW QUESTION # 78
What are the critical metrics to understand in a Disaster Recovery plan?

• A. Maximum Tolerable Downtime (MTD) and Minimum Necessary Downtime (MND)
• B. Peak Load Time (PLT) and Off-Peak Recovery Time (OPRT)
• C. Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
• D. System Downtime Duration (SDD) and Data Access Time (DAT)

Answer: C

NEW QUESTION # 79
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 reduces the overall user satisfaction.
• C. It increases the complexity of the IT infrastructure.
• D. It decreases the necessity for human interaction in customer service.

Answer: D

NEW QUESTION # 80
Which of the following are essential considerations when scaling Watson Assistant solutions across different geographies? (Select two)

• A. Region-specific legal compliance
• B. Uniform data processing speeds
• C. Consistent branding across regions
• D. Localization of user interactions

Answer: A,D

NEW QUESTION # 81
Which Watson Assistant service captures telephone voice interactions for use by a cognitive agent or as a transcription for analytics processing?

• A. Voice Transcriber
• B. Voice Gateway
• C. Voice Analyzer
• D. Voice Agent

Answer: B

Explanation:
Watson Assistant integrates with telephone systems through the Voice Gateway service. Voice Gateway captures real-time telephone voice interactions and can route them to a Watson Assistant chatbot or forward them for transcription and analytics. It enables cognitive agents to interact over voice channels and supports integration with SIP-based telephony systems. Voice Agent, Analyzer, and Transcriber are not standard Watson Assistant components within Cloud Pak for Data.

NEW QUESTION # 82
What scenario best illustrates the effective use of Db2 Graph services?

• A. Simple data aggregation without the need for graph theory
• B. For basic CRUD operations without relationships
• C. Managing complex relationships and pattern recognition
• D. When handling flat, tabular data

Answer: C

NEW QUESTION # 83
In the context of IBM Cloud Pak for Data, which statement best describes the purpose of using OpenShift Operators?

• A. To automate the deployment of Kafka clusters
• B. To enable automatic scaling of deployed services
• C. To provide logging and monitoring capabilities
• D. To manage the lifecycle of Cloud Pak services

Answer: D

NEW QUESTION # 84
What advantage does data replication hold over ETL tools for multi-site data distribution?

• A. Slower data dissemination
• B. Immediate data availability across sites
• C. Centralized data storage
• D. Increased data isolation

Answer: B

NEW QUESTION # 85
Which set of DataStage features are primarily intended to improve reusability and flexibility?

• A. Macros, DataStage APIs, and DataStage jobs
• B. DataStage components, parameters, parameter sets, and environment variables.
• C. Schema drift support, Dynamic Workload Management, and ELT run mode.
• D. DataStage connectors, Qualitystage stages, and DataStage Pipeline components.

Answer: B

Explanation:
DataStage promotes modularity and reusability through the use of components such as job stages, parameters, parameter sets, and environment variables. Parameters and parameter sets allow dynamic configuration of jobs, enabling reuse across environments and reducing hardcoding. Environment variables allow users to define global job behavior across projects. These elements significantly enhance development efficiency and pipeline portability. Other features like schema drift and ELT modes support execution flexibility, but they are not primarily focused on reusability.

NEW QUESTION # 86
Which two storage requirements are essential to achieve High Availability?

• A. Data redundancy
• B. Scalable storage solutions
• C. Regular data purging
• D. Frequent system downtime for maintenance

Answer: A,B

NEW QUESTION # 87
What is a key security feature to manage for data stores in Watson Assistant?

• A. Biometric access controls for system administrators
• B. Physical security of data centers
• C. Two-factor authentication for user logins
• D. Data encryption both at rest and in transit

Answer: D

NEW QUESTION # 88
Which components of IBM Cloud Pak for Data are essential for implementing an end-to-end data science workflow?

• A. Watson Studio and Watson Machine Learning
• B. Data Refinery and Watson Studio
• C. Watson Knowledge Catalog and DataStage
• D. Decision Optimization and Streams

Answer: A

NEW QUESTION # 89
What is the purpose of the IBM Data Replication service?

• A. To integrate and synchronize data.
• B. To provide a unified view of disparate data sources.
• C. To monitor database activity.
• D. To transform and validate data moving from source to target.

Answer: A

Explanation:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization. The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).

NEW QUESTION # 90
What are the limitations regarding the number of instances that can be created with Watson Assistant?

• A. Only one instance is allowed per network to ensure security
• B. No more than 5 instances per IBM Cloud account
• C. Unlimited instances as long as there is sufficient storage
• D. The limit is set based on the subscription model chosen

Answer: D

NEW QUESTION # 91
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. Db2
• B. IBM Data Virtualization
• C. Cognos Analytics
• D. Analytics Engine Powered by Apache Spark
• E. Watson Pipelines

Answer: B,D

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 # 92
When planning an environment for multiple Cloud Pak deployments, what is crucial?

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

Answer: B

NEW QUESTION # 93
In DataStage, how is workload management typically achieved?

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

Answer: A

NEW QUESTION # 94
Which of the following best describes the importance of encryption of data at rest in IBM Cloud Pak for Data?

• A. Decreases data retrieval time
• B. Protects sensitive information from unauthorized access
• C. It is optional for all types of data
• D. Enhances visual appeal of the data

Answer: B

NEW QUESTION # 95
How does IBM Data Virtualization aid in the creation of a Data Fabric?

• A. It suspends access to a data source once a usage threshold is exceeded.
• B. It is a replication tool that brings data from all sources together in one location.
• C. It uses AI to predict where data will be used and relocated data for the best performance.
• D. It allows data engineers to customize access to data across multiple data sources, then publish the resulting objects in a catalog.

Answer: D

NEW QUESTION # 96
Which of the following are considered when determining the correct storage options for IBM Cloud Pak for Data?

• A. Color schemes of storage UI
• B. Aesthetics of the storage interface
• C. Cost-effectiveness only
• D. Performance and scalability

Answer: D

NEW QUESTION # 97
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