IBM C1000-173 Dumps - 100% Cover Real Exam Questions (Updated 192 Questions) [Q67-Q83]

IBM C1000-173 Dumps - 100% Cover Real Exam Questions (Updated 192 Questions)

Real C1000-173 dumps - Real IBM dumps PDF

NEW QUESTION # 67
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. Watson Pipelines
• C. Analytics Engine Powered by Apache Spark
• D. Cognos Analytics
• E. Db2

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 # 68
In an air-gapped environment, what is a primary security measure?

• A. Continuous internet monitoring
• B. Frequent online software updates
• C. Use of cloud-based services
• D. Physical access controls

Answer: D

NEW QUESTION # 69
When evaluating Cloud Pak for Data, what are the potential advantages of choosing a SaaS model over a non-SaaS model?

• A. More control over infrastructure
• B. Faster deployment
• C. Lower initial costs
• D. Enhanced scalability

Answer: B,C,D

NEW QUESTION # 70
How does the 'Easy to use UI' feature in Cloud Pak for Data's Data Replication benefit users?

• A. Streamlines the replication setup process
• B. Complicates the data replication workflow
• C. Reduces user control over replication tasks
• D. Increases the need for specialized training

Answer: A

NEW QUESTION # 71
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?

• A. Cost considerations
• B. Compliance requirements
• C. Desired level of control over the environment
• D. In-house technical expertise

Answer: A,C,D

NEW QUESTION # 72
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

• A. Every 5 minutes
• B. Every 10 minutes
• C. Every 30 minutes
• D. Every 15 minutes

Answer: B

Explanation:
You can use the IBM Software Hub monitoring and alerting framework to monitor the state of the platform.
You can set up events to alert when action is needed, based on thresholds that you define.
By default, IBM Software Hub is initialized with one monitor that runs every ten minutes. The diagnostic monitor records the status of deployments, StatefulSets, and persistent volume claims. It also tracks your system usage of virtual processors (vCPUs) and memory. The data that is collected can be used for analysis and to alert customers in a production environment based on set alert rules.

NEW QUESTION # 73
What is the significance of using platform connections in Data Replication on Cloud Pak for Data?

• A. Decreases connectivity with data sources and targets
• B. Enhances interoperability and ease of configuration
• C. Isolates data environments
• D. Complicates data integration processes

Answer: B

NEW QUESTION # 74
Which plug-in is used by the Cloud Pak for Data Audit Logging service to forward audit records to a SIEM system?

• A. OSS/J
• B. Logstash output
• C. Apache Kafka output
• 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 # 75
How do Access Control Lists (ACLs) benefit Db2 services security architecture?

• A. Enabling detailed permissions management
• B. Reducing the granularity of access control
• C. By allowing unrestricted access to all users
• D. Simplifying user authentication processes

Answer: A

NEW QUESTION # 76
When planning for the data management console in Db2, what functionality is crucial for effective database management?

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

Answer: C

NEW QUESTION # 77
What statement is true about tethered projects?

• A. Use tethered projects to isolate service instances or workloads from the rest of the Cloud Pak for Data deployment.
• B. Tethered projects can be shared by multiple instances of Cloud Pak for Data.
• C. A tethered project cannot have its own NetworkPolicies, SecurityContext and ResourceQuota.
• D. All Cloud Pak for Data services support running workloads or service instances in tethered projects.

Answer: A

NEW QUESTION # 78
What is the primary goal of High Availability in computing environments?

• A. To maximize system downtime
• B. To reduce the efficiency of backup processes
• C. To ensure a system operates at its peak capacity
• D. To minimize downtime and prevent data loss

Answer: D

NEW QUESTION # 79
What is a primary benefit of using watsonx.data over traditional data warehouse solutions?

• A. Increased data redundancy
• B. Lower data latency
• C. Limited data scalability
• D. Reduced data flexibility

Answer: B

NEW QUESTION # 80
Which of the following statements best describes the business value of Watson Assistant?

• A. It provides enhanced security for cloud-based services.
• B. It significantly reduces the time required for data processing.
• C. It offers an advanced platform for numerical computation.
• D. It improves customer engagement through AI-driven conversations.

Answer: D

NEW QUESTION # 81
How does the IBM Data Virtualization service virtualize files in shared directories?

• A. A remote connector is installed and run on the source server.
• B. Administrators configure FTP connections to the file source.
• C. It scans its network for open file shares.
• D. Users add shared file systems in the UI.

Answer: A

Explanation:
To virtualize files that reside in shared directories (e.g., NFS, SMB, or other on-premises sources), IBM Data Virtualization uses a remote connector agent. This remote connector is installed and executed on the source server to enable secure access and metadata extraction. The service does not scan networks automatically nor rely on FTP. Directly adding file shares via the UI is not sufficient without the backend connector in place, which acts as a secure communication bridge.

NEW QUESTION # 82
Why is it essential to integrate Watson OpenScale in an AI solution architecture?

• A. To diminish the role of data scientists
• B. To reduce the computation power required
• C. To increase data encryption standards
• D. To provide AI model fairness, explainability, and audit trails

Answer: D

NEW QUESTION # 83
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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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 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.

 

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