[Q85-Q110] Accurate & Verified 2026 New C1000-173 Answers As Experienced in the Actual Test!

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Accurate & Verified 2026 New C1000-173 Answers As Experienced in the Actual Test!

C1000-173 Certification Sample Questions certification Exam

NEW QUESTION # 85
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 # 86
Understanding instance limitations in Watson Assistant is critical for what reason?

  • A. To prevent overutilization of computational resources
  • B. To ensure compliance with data protection regulations
  • C. To optimize budget allocation for cloud resources
  • D. To maximize the performance of machine learning models

Answer: C


NEW QUESTION # 87
How is storage managed in watsonx.data to enhance data accessibility and efficiency?

  • A. Leveraging distributed storage architecture
  • B. Using a flat-file storage system
  • C. Utilizing centralized storage management
  • D. Through hierarchical storage management

Answer: A


NEW QUESTION # 88
When planning the implementation of Cloud Pak for Data, which of the following services might be considered essential based on the business requirements?

  • A. Network monitoring
  • B. AI workflows
  • C. Storage optimization
  • D. Data governance

Answer: B,D


NEW QUESTION # 89
What is a Data Refinery flow in Cloud Pak for Data?

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

Answer: C

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 # 90
What signifies the business value of Db2/BigSQL?

  • A. Its capacity to handle large volumes of data efficiently
  • B. Its ability to restrict data access to a limited number of users
  • C. Its function in increasing data processing time
  • D. Its role in reducing the graphical user interface quality

Answer: A


NEW QUESTION # 91
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

  • A. It ensures all projects are untethered for greater flexibility
  • B. Enhances project isolation while enabling resource access control
  • C. Disallows resource monitoring and management
  • D. It prevents any form of project organization

Answer: B


NEW QUESTION # 92
In Data Stage, why is the choice of storage class important?

  • A. Influences data processing capabilities and speed
  • B. Determines the storage class name length only
  • C. It affects only the color scheme of the visualizations
  • D. Storage class choice is purely cosmetic

Answer: A


NEW QUESTION # 93
In the context of auditing, what does immutable logging ensure?

  • A. Log storage optimization
  • B. High availability
  • C. Non-repudiation
  • D. User authentication

Answer: C


NEW QUESTION # 94
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 # 95
In which situation would you specifically label nodes for DB2 workloads?

  • A. For reducing overall system performance
  • B. When node differentiation is unnecessary
  • C. To distinguish between different data or workload types
  • D. When all nodes are utilized for identical tasks

Answer: C


NEW QUESTION # 96
Comparing data replication with an ETL tool, which feature is exclusive to data replication concerning real-time data changes?

  • A. Immediate data synchronization
  • B. Batch processing of data changes
  • C. Deferred data update capabilities
  • D. Reduced data consistency

Answer: A


NEW QUESTION # 97
Which of the following best explains the business impact of integrating Watson Assistant into customer service operations?

  • A. It decreases the necessity for human interaction in customer service.
  • B. It increases the complexity of the IT infrastructure.
  • C. It reduces the overall user satisfaction.
  • D. It escalates the operational costs significantly.

Answer: A


NEW QUESTION # 98
What is crucial when planning for Disaster Recovery?

  • A. Ensuring minimal communication during recovery
  • B. Prioritizing less critical systems
  • C. Ignoring potential threats and vulnerabilities
  • D. Defining acceptable downtime and data loss

Answer: D


NEW QUESTION # 99
What is the purpose of profiling data in Data Refinery?

  • A. Validating the data.
  • B. Creating data backups.
  • C. Loading data into a different location.
  • D. Creating data visualizations.

Answer: A

Explanation:
Profiling data in Data Refinery is primarily used for validating the quality, structure, and characteristics of the dataset. It provides insights such as column data types, value distributions, null counts, and patterns, enabling users to detect anomalies, inconsistencies, or data quality issues before performing transformations or analytics. It is not intended for data loading (B), backups (C), or visualization (D), although it provides basic statistical overviews as part of validation.


NEW QUESTION # 100
What is a key feature of online storage options for IBM Cloud Pak for Data?

  • A. Lower performance compared to offline storage
  • B. Data is not accessible instantly
  • C. Used primarily for archived data
  • D. High availability and quick access to data

Answer: D


NEW QUESTION # 101
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system. What is needed to integrate any supported vault systems into Cloud Pak for Data?

  • A. Client certificate to authenticate to the vault.
  • B. Fully qualified URL of the vault.
  • C. Username and password of the vault.
  • D. Client key in .key or .pem format to authenticate to the vault.

Answer: B

Explanation:
To integrate a supported vault system withIBM Cloud Pak for Data, thefully qualified URLof the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in theexternal secrets managersettings.
While authentication credentials (like client certificates or keys) are also necessarydepending on the authentication method used, thefully qualified URLis universally required to locate and connect to the vault.
IBM Cloud Pak for Data supports integration with vaults such as:
* HashiCorp Vault
* AWS Secrets Manager
* Azure Key Vault
* IBM Key Protect
For more details, refer to:
IBM Cloud Pak for Data: Using external secrets managers


NEW QUESTION # 102
Which two storage requirements are essential to achieve High Availability?

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

Answer: B,D


NEW QUESTION # 103
How does utilizing namespaces in a single Cloud Pak for Data instance facilitate multi-tenancy?

  • A. Ensuring there is no isolation between different tenant environments
  • B. By allowing unrestricted access between different namespaces
  • C. Treating all namespaces as a single entity without any differentiation
  • D. Providing logical separation between different tenant environments

Answer: D


NEW QUESTION # 104
Which two of the following can be used with Watson Pipelines?

  • A. PowerShell
  • B. Bash scripts
  • C. Postgres
  • D. Db2 Big SQL
  • E. Notebooks

Answer: B,E

Explanation:
Watson Pipelines in Cloud Pak for Data support orchestration of diverse workload types including notebooks (Python or similar interactive environments) and scripts such as Bash. These pipeline components allow integration of notebook cells or shell scripts as tasks. There is no built#in support for executing PowerShell tasks directly (unless wrapped in Bash-like containers), and Postgres is used as a data source-not a pipeline component type. While Db2 Big SQL can be invoked within a notebook or script, it is not itself a pipeline component. Therefore the supported types in pipelines are notebooks and Bash scripts.


NEW QUESTION # 105
In the context of Watson Assistant, what purpose do storage classes serve?

  • A. They categorize storage by color only
  • B. Determine the latency and throughput for data access
  • C. Impact the font size of stored data
  • D. Are only relevant for aesthetic classification

Answer: B


NEW QUESTION # 106
Which two Cloud Pak for Data services support storage class NFS?

  • A. Watson Knowledge Studio
  • B. watsonx Assistant
  • C. Watson Discovery
  • D. Planning Analytics
  • E. IBM Knowledge Catalog

Answer: C,E

Explanation:
IBM Cloud Pak for Data supports NFS#backed persistent volumes (RWX storage class) for services that require access to shared file storage. Among the available services, IBM Knowledge Catalog and Watson Discovery are known to support NFS storage classes in installation configuration (e.g.
"managed#nfs#storage") for persistent metadata and document storage. Other services like watsonx Assistant, Watson Knowledge Studio, and Planning Analytics use different storage mechanisms and do not necessarily support NFS shared storage in the standard CP4D 4.7 deployment.


NEW QUESTION # 107
A Cloud Pak for Data installation was initially deployed on Microsoft Azure via the automated deployment option. What can be used to upgrade the environment?

  • A. PowerShell
  • B. Cloud Providers Marketplace
  • C. GitHub Repo
  • D. Command Line Interface (CLI)

Answer: D

Explanation:
For environments deployed via automated cloud options (such as Azure or AWS), upgrades are performed using the Command Line Interface (CLI). The CLI allows administrators to pull the latest operators, update foundational services, and upgrade installed services. The cloud marketplace is used only for initial provisioning, not for upgrades. PowerShell and GitHub repositories are not used as upgrade mechanisms within the official CP4D deployment lifecycle.


NEW QUESTION # 108
How does the 'Easy to use UI' feature in Cloud Pak for Data's Data Replication benefit users?

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

Answer: B


NEW QUESTION # 109
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)

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

Answer: B,D


NEW QUESTION # 110
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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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 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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