Master IBM C1000-173 Exam with Reliable Practice Questions
Upgrade to PremiumWhat outcomes can be achieved from Match 360?
Correct : D
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data. It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).
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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?
Correct : B
To integrate a supported vault system with IBM Cloud Pak for Data, the fully qualified URL of the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in the external secrets manager settings.
While authentication credentials (like client certificates or keys) are also necessary depending on the authentication method used, the fully qualified URL is 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
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Which two of the following can be used with Watson Pipelines?
Correct : B, D
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.
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When creating a Db2 Big SQL service instance, which two service resource items should be taken into account when sizing the cluster?
Correct : B, D
When provisioning a Db2 Big SQL service instance in IBM Cloud Pak for Data, key considerations include the amount of memory available per worker node and the total number of worker nodes. These factors directly affect query execution parallelism and system capacity. The system does not distinguish between physical and virtual cores at the configuration level. Throughput is an outcome of sizing, not a direct sizing parameter. Therefore, memory and number of workers are the two most critical sizing metrics.
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How many service instances can be provisioned for Watson Discovery at one time?
Correct : D
'You can create a maximum of 10 instances per deployment. After you reach the maximum number, the New instance button is not displayed in IBM Cloud Pak for Data.'
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