Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

SAP C_PAII10_35 Exam Questions

Status: RETIRED
Exam Name: SAP Certified Application Associate - SAP Predictive Analytics
Exam Code: C_PAII10_35
Related Certification(s):
  • SAP Certified Application Associate Certifications
  • SAP Predictive Analytics Certifications
Certification Provider: SAP
Number of C_PAII10_35 practice questions in our database: 80 (updated: 01-04-2022)
Expected C_PAII10_35 Exam Topics, as suggested by SAP :
  • Topic 1: Outline how to manipulate data in the Data Manager and how to use it to create dynamic data sets/ Introduction to Predictive Analytics
  • Topic 2: Using classification modeling, using regression modeling/ Build, debrief and apply a clustering model in Modeler
  • Topic 3: Build, debrief, save and apply a regression model in Modeler/ Data Science supporting Automated Analytics
  • Topic 4: Outline the key capabilities of SAP Predictive Analytics/ Clustering with Automated Analytics
  • Topic 5: Identify different data types, storage and variable roles/ Identify use cases for predictive algorithms
  • Topic 6: Build, debrief and apply a time-series model in Modeler/ Describe basic predictive modeling concepts
  • Topic 7: Creating and scheduling tasks, and using deviation analysis/ Classification Modeling with Modeler
  • Topic 8: Build and apply classification models in Modeler/ Describe the key features of SAP Predictive Factory
Disscuss SAP C_PAII10_35 Topics, Questions or Ask Anything Related

Currently there are no comments in this discussion, be the first to comment!

Free SAP C_PAII10_35 Exam Actual Questions

Note: Premium Questions for C_PAII10_35 were last updated On 01-04-2022 (see below)

Question #1

Operation of Automated Analytic:

Note: There are 3 correct answers to this question.

Reveal Solution Hide Solution
Correct Answer: A, B, C

Question #2

The different types of variables: continuous, ordinal and nominal are next encoded by the data encoding feature of Modeler, or by the Event Logging and Sequence Coding features in the case of dynamic dat

a. Before generating the model, you must:

Note: There are 2 correct answers to this question.

Reveal Solution Hide Solution
Correct Answer: A, B

Question #3

You can then generate models, capable of either explaining and predicting a

phenomenon, or describing a dataset, in both cases, as a function of the previously

defined target variable. This phase is called the training phase. Once the models

have been generated, you can view and interpret their relevance and robustness

using:

Note: There are 2 correct answers to this question.

Reveal Solution Hide Solution
Correct Answer: A, B

Question #4

Automated Analytics supports the following data sources:

Note: There are 2 correct answers to this question.

Reveal Solution Hide Solution
Correct Answer: A, C

Question #5

The Periodic with testing at the end strategy distributes:

Note: There are 4 correct answers to this question.

Reveal Solution Hide Solution
Correct Answer: A, B, C, D


Unlock Premium C_PAII10_35 Exam Questions with Advanced Practice Test Features:
  • Select Question Types you want
  • Set your Desired Pass Percentage
  • Allocate Time (Hours : Minutes)
  • Create Multiple Practice tests with Limited Questions
  • Customer Support
Get Full Access Now

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77