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SAP C_SAC_2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Planning	21% - 30%	- Planning functionality 1. Manual planning 2. Advanced planning features 3. Planning workflows 4. Version management
Topic 2: Story Design	21% - 30%	- Create and manage stories 1. Data exploration and storytelling 2. Configure visualizations 3. Apply filters and calculations 4. Design dashboards and presentations
Topic 3: Connections and Data Preparation	11% - 20%	- Connectivity and preparation 1. Data connections 2. Import and live connections 3. Data wrangling 4. Data cleansing and transformation
Topic 4: Performance, Troubleshooting, and Security Management	10% or less	- Administration and optimization 1. Security and authorization 2. Performance optimization 3. Troubleshooting 4. System administration
Topic 5: Data Modeling, Analysis, and Integration	21% - 30%	- Modeling and analytics 1. Data blending and analysis 2. Measures and dimensions 3. Hierarchies and calculations 4. Data integration 5. Build data models

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SAP Certified - Data Analyst - SAP Analytics Cloud Sample Questions (Q40-Q45):

NEW QUESTION # 40
What is the purpose of a validation rule?
Choose the correct answer.

A. To prevent improper data entry and planning operations.
B. To prohibit use of a model.
C. To allow access to a story.

Answer: A

NEW QUESTION # 41
You need to export some data from your story into a .csv file. What do you do?
Choose the correct answer.

A. Choose a widget that displays data and use its More Actions menu.
B. From the File area of the menu bar, choose Save as and change the file type to CSV.
C. From the File area of the menu bar, choose Export.

Answer: A

NEW QUESTION # 42
What programming languages enable you to create custom charts and graphs?
There are two correct answers.

A. HTML
B. R
C. C
D. JavaScript

Answer: B,D

NEW QUESTION # 43
How many characters are comments limited to in SAP Analytics Cloud?
Choose the correct answer.

A. 0
B. 1
C. 10,000
D. 2

Answer: C

NEW QUESTION # 44
What lets you create 1 or more models that learn from your historical data?
Choose the correct answer.

A. Smart Insights
B. Predictive Forecast
C. Smart Predict

Answer: C

NEW QUESTION # 45
......

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