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Instructions to register and schedule your IBM C1000-136 Exam

Go to the IBM Cloud Pak for Data v4.x Solution Architecture website and click on the “Register” link in the top right corner of the page.

A registration form will appear, fill in all fields and choose a username and password that you'll use to access your account when you are logged into IBM Cloud Pak for Data v4.x Solution Architecture, then click “Sign Up” button.

You will be taken to a page where you can create an account or log into an existing one if you have one created before. If you have not yet created an account, click “Create Account” button and follow the instructions on screen to create one for yourself.

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What is the IBM C1000-136 Exam?

IBM C1000-136 Exam is a certification exam that tests your knowledge of the IBM C1000-136 exam. The IBM Cloudpak for Data v4.x Solution Architecture certification exam is designed for those who have at least four years of experience with the IBM Cloudpak for Data v4.x solution architecture framework and who want to deepen their understanding of the subject matter. IBM C1000-136 exam dumps are designed to provide you with the knowledge you need to pass the IBM C1000-136 exam on the first try.

The IBM C1000-136 exam covers all of the material covered in the IBM cloudpak for data v4.x solution architecture framework course as well as additional topics such as how to manage a large scale project, how to use agile techniques, how to use a DevOps approach, how to collaborate with other teams, how to manage security risks, etc.

IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions (Q39-Q44):

Which statement is true about data profiling?

A. A profile examines each row of a data asset.B. Only asset owners can see the profile of an asset.C. Parquet and CSV files can be profiled.D. Cataloged assets must be selected manually to initiate profiling.

Answer: C

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

A. Tracking issues and metrics associated with the modelsB. Reducing the number of models in use in productionC. Increased risk of data leaks due to model trainingD. Maintaining a comprehensive inventory of modelsE. Placing restrictions on access to the predictions made by models

Answer: A,C

Which is a use case for Planning Analytics?

A. Market basket analysisB. COVID peak historyC. Optimize plane routesD. Supply chain planning

Answer: D

Within Watson Knowledge Catalog, which two are data policies?

A. Protect access to Private Health Information (PHI) DataB. Protect access to Personally Identifiable Information (Pll) DataC. Obfuscate patient diagnosis codesD. Mask patient diagnosis codes for certain Data StewardsE. Mask customer account number for Data Stewards users within Cloud Pak for Data

Answer: B,D

Which statement is true about drift in OpenScale?

A. Classification models support both data and accuracy driftB. Regression models support both data and accuracy driftC. Drift is supported for Python functionsD. Drift detection is supported for both structured and unstructured data

Answer: B


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