IBM C1000-136 IBM Cloud Pak for Data v4.x Solution Architecture Online Training
IBM C1000-136 Online Training
The questions for C1000-136 were last updated at Nov 19,2024.
- Exam Code: C1000-136
- Exam Name: IBM Cloud Pak for Data v4.x Solution Architecture
- Certification Provider: IBM
- Latest update: Nov 19,2024
In Cloud Pak for Data, what is a primary use case for implementing data governance information architecture?
- A . Wireless data ingestion
- B . Software lifecycle management
- C . Data center automation
- D . Data modernization
Which two use cases can be delivered via Cognos Analytics?
- A . Prescriptive Analytics
- B . Descriptive Analytics
- C . Cognitive Analytics
- D . Diagnostic Analytics
- E . Planning Analytics
When using Azure ML service with Watson OpenScale, which file format must be used for web service deployments?
- A . XML
- B . CSV
- C . JSON
- D . YAML
A customer has data in an Oracle database and wants to sync their data assets to Watson Knowledge Catalog’s default catalog.
What type of connection do they need to add in the Information Assets view?
- A . RDP connection
- B . SFTP connection
- C . JDBC connection
- D . HTTPS connection
What are two event severity levels within Cloud Pak for Data?
- A . Minor – Monitored resources sometimes behave as expected
- B . Warning – Monitored resources have reached a warning threshold
- C . Major – Monitored resources always created warnings
- D . Critical – Monitored resources are unstable
- E . Exception – Monitored resources are experience periodic warnings
What is the purpose of an Industry Accelerator?
- A . Industry accelerators are architectural frameworks for planning your next data warehouse.
- B . Industry accelerators provided by third parties are data files used to complement data.
- C . Industry accelerators are methodologies to cleanse and manage data while making it available across an organization.
- D . Industry accelerators provided by IBM are a set of artifacts that help address common business issues.
What is a data fabric?
- A . A data lake technology that addresses cloud data challenges
- B . A process to address on-premises data challenges
- C . An architecture that addresses distributed data challenges
- D . A pre-scripted process to address machine learning data challenges
An energy company is creating an ML model to predict when there will be extra demand on the energy grid so preventative action can be taken to reduce usage leading up to the predicted event. The model is being monitored using OpenScale in Watson Studio.
Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?
- A . Obtain an understanding of the model predictions
- B . Ensure quality in the feedback data
- C . Reduce drift in the model
- D . Mitigate bias, including implicit bias, that humans may have
Which two types of custom workflows are supported by Watson Knowledge Catalog?
- A . Governance Artifact workflows
- B . New Employee workflows
- C . Code Review workflows
- D . Security workflows
- E . Request workflows
Cognos Analytics integrates with which data science offering?
- A . Apache Spark
- B . Jupyter Notebooks
- C . RStudio
- D . Decision Optimization
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