[Mar-2026] C1000-173 Dumps are Available for Instant Access using Exam4Tests [Q63-Q86]

[Mar-2026] C1000-173 Dumps are Available for Instant Access using Exam4Tests

C1000-173 Dumps 2026 - New IBM C1000-173 Exam Questions

IBM C1000-173 Exam Syllabus Topics:

Topic	Details
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	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 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.
Topic 4	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 5	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 # 63
How do Cloud Pak for Data administrators obtain access to Match 360?

• A. Administrative users must belong to the appropriate service group.
• B. Administrative users automatically have access.
• C. Each user is automatically granted read access.
• D. Each user who is assigned to a service group has access.

Answer: A

Explanation:
Access to Match 360 within IBM Cloud Pak for Data is role-based and governed by service groups. Even administrative users are not granted automatic access unless they are explicitly assigned to the appropriate Match 360 service group. This allows fine-grained control over who can access master data management capabilities. Service group membership defines the roles and privileges needed for interacting with Match 360 functionalities like entity resolution and golden record management.

NEW QUESTION # 64
How do storage classes in IBM Cloud Pak for Data impact application performance?

• A. They have no impact on performance
• B. By changing the color of the storage interface
• C. By altering the user access levels only
• D. By defining the availability and durability of data

Answer: D

NEW QUESTION # 65
Why is it crucial to understand the benefits of watsonx.data over traditional data warehouses?

• A. To reduce data processing speed
• B. To limit scalability and flexibility
• C. To leverage advanced analytics and machine learning capabilities
• D. To maximize data storage costs

Answer: C

NEW QUESTION # 66
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. Logstash output
• D. OSS/J

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 # 67
When granting a user access to the Data Engineer role, which two permissions will the user be associated with as part of this role?

• A. Manage platform
• B. Manage workflows
• C. Monitor project workload
• D. Create projects
• E. Manage data protection rules

Answer: D,E

Explanation:
The Data Engineer role in IBM Cloud Pak for Data includes permissions necessary for managing the data pipeline lifecycle. This includes the ability to create projects, manage data assets, and configure data protection rules, which are critical for ensuring data privacy and governance. The role does not include platform-level administrative privileges like managing the platform or monitoring all workloads. Workflow management is typically assigned to users with broader project or orchestrator roles.

NEW QUESTION # 68
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?

• A. A configmap that contains the company's CA certificate.
• B. A secret that contains the company's CA certificate.
• C. A configmap that contains all internal server certificate chains.
• D. A secret containing a wildcard certificate for all internal servers.

Answer: A

Explanation:
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store.
Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.

NEW QUESTION # 69
The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month.
Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

• A. ETL/ELT Mode (ETL, ELT, or Hybrid)
• B. Auto-scaling (computePodsMin, computePodsMax)
• C. Job Count (JobCount)
• D. Job Log Retention (log_retention)
• E. Job Configuration File (APT_CONFIG_FILE)

Answer: B,C

NEW QUESTION # 70
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 key in .key or .pem format to authenticate to the vault.
• B. Fully qualified URL of the vault.
• C. Client certificate to authenticate to the vault.
• D. Username and password of 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 # 71
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 uses AI to predict where data will be used and relocated data for the best performance.
• C. It is a replication tool that brings data from all sources together in one location.
• 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 # 72
How can IBM Cloud Pak for Data facilitate the management of data compliance and privacy?

• A. By providing a comprehensive data catalog
• B. By enabling fine-grained access control
• C. By automating data masking processes
• D. All of the above

Answer: D

NEW QUESTION # 73
Which Cloud Pak for Data service is used to cleanse and shape tabular data?

• A. Data Refinery
• B. Data Manager
• C. Data Wrangler
• D. Watson Data

Answer: A

Explanation:
Data Refinery is the dedicated data preparation service in IBM Cloud Pak for Data. It enables users to cleanse, shape, filter, and enrich tabular datasets through a graphical interface. Users can create data preparation flows that integrate seamlessly with Watson Studio and other services. Data Manager and Data Wrangler are not services available in CP4D, and Watson Data is not a recognized component. Data Refinery is the officially supported tool for this purpose.

NEW QUESTION # 74
How can multi-tenancy be achieved with multiple instances of Cloud Pak for Data?

• A. Assigning all resources to a single tenant
• B. By deploying a single instance for all tenants
• C. Through dedicated instances per tenant for isolation
• D. Avoiding namespace usage

Answer: C

NEW QUESTION # 75
What is the significance of planning an environment for multiple Cloud Pak deployments?

• A. To reduce the operational complexity and management overhead
• B. Ensuring a one-size-fits-all approach to resource allocation
• C. Customizing each deployment based on tenant needs and usage patterns
• D. Avoiding the use of projects and namespaces for simplicity

Answer: C

NEW QUESTION # 76
Insurance industry datasets frequently include personally identifiable information (PII) and many data analysts need access to datasets but not to PII.
Which Cloud Pak for Data services leverage Data Protection Rules?

• A. IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog
• B. Data Refinery, Watson Pipeline, and Watson Studio
• C. DataStage, SPSS Modeler, and Python Notebooks
• D. Watson Discovery and Watson Assistant

Answer: A

Explanation:
IBM Cloud Pak for Data includes built-in Data Protection Rules to enforce access control on sensitive data, such as PII. These rules are integrated directly into services like IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog. When analysts or applications access data through these services, the platform automatically masks, obfuscates, or restricts access to sensitive fields based on the defined policies. This ensures compliance with data privacy regulations and organizational security policies without manual intervention.

NEW QUESTION # 77
Which two of the following can be used with Watson Pipelines?

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

Answer: D,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 # 78
What are tethered projects in the context of IBM Cloud Pak for Data?

• A. Projects linked to a specific tenant and its resources within the platform
• B. Projects that do not support multi-tenancy
• C. Standalone projects without any connection to other services
• D. Projects that restrict any form of data sharing

Answer: A

NEW QUESTION # 79
Why is it essential to integrate Watson OpenScale in an AI solution architecture?

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

Answer: A

NEW QUESTION # 80
What is a key feature of online storage options for IBM Cloud Pak for Data?

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

Answer: B

NEW QUESTION # 81
In the context of Cloud Pak for Data, what factors should be considered for accurately sizing a cluster?

• A. Geographic distribution of users
• B. Expected user load
• C. Anticipated data volume
• D. Data processing speed requirements

Answer: B,C,D

NEW QUESTION # 82
What is a critical aspect of monitoring DB2 services to enable efficient user querying?

• A. Disabling user access to monitoring tools
• B. Ignoring query performance metrics
• C. Providing insights into query execution and performance
• D. Ensuring that only DB administrators can monitor the system

Answer: C

NEW QUESTION # 83
What advantage does data replication hold over ETL tools for multi-site data distribution?

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

Answer: A

NEW QUESTION # 84
In terms of managing security for data stores in Watson Assistant, what practices should be emphasized? (Select two)

• A. Implementing role-based access control
• B. Encrypting all stored data, both at rest and in transit
• C. Regularly updating access credentials
• D. Using a public network for easier access

Answer: B,C

NEW QUESTION # 85
If a Cloud Pak for Data cluster is air-gapped, it is unable to reach the internet, and a private registry must be configured for installations and upgrades. Beyond container images, what other components need to be addressed?

• A. Platform monitoring messages are sent via an internet messaging hub.
• B. Data movement between nodes must be blocked via firewall rules.
• C. Utilities, like pip, still require a connection to the internet by default.
• D. License validation requires periodic updates via internet proxy.

Answer: C

Explanation:
In air-gapped (offline) environments, it's not just the container images that require preparation. Package managers like pip (for Python) and other utilities commonly attempt to pull dependencies from public internet repositories. These must be redirected to internal mirrors or handled via offline bundles. If left unaddressed, certain operations within components like Jupyter notebooks, Watson Studio, or pipelines may fail. License validation and monitoring do not inherently require internet access, and data movement between nodes is part of normal cluster function-not something to be blocked.

NEW QUESTION # 86
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