May-2026 Download Free Latest Exam C1000-173 Certified Sample Questions

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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	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 3	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.

 

NEW QUESTION # 14
Why is it important to differentiate between Metro-DR and Regional-DR in disaster recovery planning?

• A. To uniformly apply the same strategy across all locations
• B. To complicate the recovery process
• C. To ensure inappropriate resource allocation
• D. To tailor the DR strategy to specific business needs and geographical risks

Answer: D

NEW QUESTION # 15
What registry permissions does OpenShift cluster node require?

• A. All nodes must be able to push to and pull from the registry.
• B. While the bastion node pushes to the private registry, only the worker nodes pull images.
• C. Only the master nodes ever require registry access.
• D. Only the bastion node should be able to reach the registry.

Answer: A

Explanation:
In an OpenShift environment that hosts IBM Cloud Pak for Data, all cluster nodes-including master and worker nodes-must have access to the container registry to pull required images during deployment and runtime. In scenarios involving custom images, some nodes may also need to push to the registry. While the bastion node may initiate the setup or mirror images, it is not the only node involved. Therefore, all nodes should be configured with both pull and, where applicable, push access to the registry to ensure consistent deployment and operations.

NEW QUESTION # 16
Which plug-in is used by the Cloud Pak for Data Audit Logging service to forward audit records to a SIEM system?

• A. Apache Kafka output
• B. Fluentd output
• C. OSS/J
• D. Logstash output

Answer: B

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 # 17
How does data replication facilitate multi-site data distribution?

• A. By ensuring data is available across different geographical locations
• B. By limiting data access to a single location
• C. By increasing the complexity of data management
• D. By increasing the complexity of data management

Answer: A

NEW QUESTION # 18
What is a key security feature to manage for data stores in Watson Assistant?

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

Answer: D

NEW QUESTION # 19
In the context of Cloud Pak for Data and OpenShift, what is the advantage of containerization for service availability?

• A. Decreasing the portability of applications
• B. Facilitating easier backup and recovery processes
• C. Limiting the scalability of services
• D. Reducing the efficiency of resource utilization

Answer: B

NEW QUESTION # 20
When choosing between data replication and an ETL tool, which aspect of minimizing the impact of outages is enhanced by data replication?

• A. Longer data recovery times
• B. Quick resumption of data availability
• C. Reduced emphasis on disaster recovery planning
• D. Increased risk of data inconsistency post-outage

Answer: B

NEW QUESTION # 21
What is a key method to achieve multi-tenancy within a single instance of Cloud Pak for Data?

• A. Utilizing shared namespaces for all tenants
• B. Combining data from all tenants
• C. Ignoring resource quotas
• D. Utilizing shared namespaces for all tenants

Answer: A

NEW QUESTION # 22
What is the purpose of the IBM Data Replication service?

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

Answer: B

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 # 23
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?

• A. Maximizing response time to user queries
• B. Providing context-aware responses
• C. Minimizing the use of entities and intents
• D. Restricting the use of multi-turn conversations

Answer: B

NEW QUESTION # 24
For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following components should be made redundant?

• A. Network paths
• B. User access portals
• C. Application servers
• D. Data storage

Answer: A,C,D

NEW QUESTION # 25
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

• A. Credentials and Secrets
• B. Cloud Pak for Data Platform
• C. Alerting
• D. Watson Data

Answer: B

NEW QUESTION # 26
What is a Data Refinery flow in Cloud Pak for Data?

• A. An ordered set of data operations.
• B. A visualization tool.
• C. A machine learning model.
• D. A data storage location.

Answer: A

Explanation:
A Data Refinery flow is an ordered sequence of data operations applied to tabular data for preparation, cleansing, and transformation. Users can create a series of steps such as filtering, joining, aggregating, and applying custom expressions. The flow is saved and can be rerun on updated datasets to ensure consistency in data preparation. It is not a storage system (A), an ML model (B), or a visualization tool (D).

NEW QUESTION # 27
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)

• A. Training the AI model with domain-specific data
• B. Increasing the physical memory of the server
• C. Setting up feedback loops for continuous improvement
• D. Increasing the physical memory of the server

Answer: A,C

NEW QUESTION # 28
Why is it essential to integrate Watson OpenScale in an AI solution architecture?

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

Answer: D

NEW QUESTION # 29
Which two features are valid only when deploying Cloud Pak for Data on-premises?

• A. The number of OpenShift nodes is configured by the administrator.
• B. Network security is managed by IBM.
• C. Compute resources are automatically scaled.
• D. Persistent storage is always used.
• E. Services are automatically updated.

Answer: A,D

Explanation:
In on-premises deployments of IBM Cloud Pak for Data:
Administrators have full control over the number of OpenShift nodes, unlike cloud-managed environments where node scaling may be automatic or abstracted.
Persistent storage is always required and configured by the infrastructure team to meet service requirements and ensure data availability.
Auto-scaling of compute and automatic updates of services are not handled by IBM in on-prem setups.
Network security responsibilities also lie with the deploying organization, not IBM, in an on-premises model.

NEW QUESTION # 30
In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?

• A. To enhance the accuracy of search responses
• B. To reduce the data ingestion rate
• C. To increase the storage requirements
• D. To simplify the query language

Answer: A

NEW QUESTION # 31
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