[Q25-Q40] Exam C1000-136 Realistic Dumps Verified Questions Free [Jan 16, 2023]

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Exam C1000-136 Realistic Dumps Verified Questions Free [Jan 16, 2023]

Valid C1000-136 Dumps for Helping Passing IBM Exam!

NEW QUESTION 25
How does Column Analysis assign business terms to columns?

  • A. By examining eleven different Quality Dimensions as represented in the Data Quality Dashboard
  • B. By reading Column Names as listed in the Master Column Index in Watson Knowledge Catalog
  • C. By using machine learning to compare the content of each column against the business terms in Watson Knowledge Catalog
  • D. By performing a comparison of the data asset schema with the logical data model stored in Watson Knowledge Catalog

Answer: C

 

NEW QUESTION 26
What are deployment spaces used for when working with Watson Machine Learning?

  • A. Create and manage deployments for machine learning models
  • B. Create a collaboration space for developers to create work items, bugs, and system documentation
  • C. Manage Cloud Pak for Data resources
  • D. Organize machine learning models into different deployment pods

Answer: A

 

NEW QUESTION 27
Which statement describes quality in Al models?

  • A. A drop in quality does not cause any harm to the business decisions made.
  • B. Quality of decisions in an Al model is not so significant for multi-classification models.
  • C. Small variations in quality may cause the wrong decision to be made.
  • D. The Al algorithm itself will compensate for the drop in quality of the data at runtime.

Answer: B

 

NEW QUESTION 28
Which statement is true about drift in OpenScale?

  • A. Drift detection is supported for both structured and unstructured data
  • B. Drift is supported for Python functions
  • C. Regression models support both data and accuracy drift
  • D. Classification models support both data and accuracy drift

Answer: C

 

NEW QUESTION 29
Which two have become critical in managing the governance, risk and compliance of machine learning models?

  • A. Reducing the number of models in use in production
  • B. Increased risk of data leaks due to model training
  • C. Maintaining a comprehensive inventory of models
  • D. Placing restrictions on access to the predictions made by models
  • E. Tracking issues and metrics associated with the models

Answer: B,E

 

NEW QUESTION 30
What is a data fabric?

  • A. An architecture that addresses distributed data challenges
  • B. A process to address on-premises data challenges
  • C. A pre-scripted process to address machine learning data challenges
  • D. A data lake technology that addresses cloud data challenges

Answer: D

 

NEW QUESTION 31
Which statement is true about the IBM Cloud Pak for Data supported shared storage types?

  • A. IBM Cloud File Storage can be attached to any IBM Cloud Pak for Data deployment.
  • B. Network File System (NFS) storage is automatically configured with IBM Cloud Pak for Data.
  • C. Portworx is available with no additional license cost regardless of the quantity of storage assigned.
  • D. Red Hat OpenShift Container Storage can be deployed as block, file, and object storage.

Answer: C

 

NEW QUESTION 32
When a portion of the data lineage is not able to be imported or is incomplete, which type of asset can be used to allow the lineage to appear uninterrupted?

  • A. Hidden
  • B. Temporary
  • C. Future
  • D. Virtual

Answer: D

 

NEW QUESTION 33
Which is a benefit of creating a connection at the platform level?

  • A. Platform connections provide read access to all platform users
  • B. Connections can only be created in the applications that require the
  • C. Connections can be created once and are available to the analytics projects
  • D. All services at the platform level will support the same types of connections

Answer: A

 

NEW QUESTION 34
Which Cloud Pak for Data service is used to find the best possible solution to a Prescriptive Analytics problem?

  • A. Decision Optimization
  • B. SPSS Modeler
  • C. Cognos Analytics
  • D. AutoAl

Answer: A

 

NEW QUESTION 35
Which Cloud Pak for Data tool automatically analyzes tabular data and generates candidate model pipelines?

  • A. RStudio
  • B. Dashboard Editor
  • C. Data Refinery
  • D. AutoAl

Answer: D

 

NEW QUESTION 36
In the default configuration, where are IBM Cloud Pak for Data user accounts stored?

  • A. Db2 database
  • B. LDAP
  • C. Internal repository database
  • D. OpenShift security database

Answer: C

 

NEW QUESTION 37
Which use case is an example of operationalizing an Al application?

  • A. Set up multidimensional analysis for a manufacturing company looking to improve supplier inventories
  • B. Perform data discovery analysis with hospital re-admittance data
  • C. Develop a model and deploy the insights into an existing care management application to identify higher-risk patients
  • D. Build a dashboard with KPIs to help a sales organization measure goals and track performance

Answer: B

 

NEW QUESTION 38
How does an external enterprise application communicate with Watson Machine Learning (WML) to score data?

  • A. REST API endpoint
  • B. VPN tunnel
  • C. JDBC connection string
  • D. Kafka topic

Answer: A

 

NEW QUESTION 39
In Cloud Pak for Data, what is a primary use case for implementing data governance information architecture?

  • A. Data modernization
  • B. Data center automation
  • C. Wireless data ingestion
  • D. Software lifecycle management

Answer: D

 

NEW QUESTION 40
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