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Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Connect To and Transform Data: This domain focuses on connecting to various data sources such as files, databases, and published sources, while deciding between live and extract connections. It also covers preparing, cleaning, transforming, and organizing data using Tableau features and Tableau Prep to ensure it is ready for accurate analysis.
Topic 2
  • Publish and Manage Content on Tableau Server and Tableau Cloud: This section covers publishing workbooks, data sources, and flows to Tableau Server or Cloud for sharing and collaboration. It also includes managing content through scheduling refreshes, setting permissions, and creating alerts, subscriptions, and custom views.
Topic 3
  • Explore and Analyze Data: This section covers creating calculations, applying filters, parameters, and structuring data to explore insights effectively. It also includes advanced analysis techniques such as table calculations, LOD expressions, forecasting, and geographic mapping to derive meaningful patterns and trends.
Topic 4
  • Create Content: This domain involves building visualizations like charts, dashboards, and stories to present data insights clearly. It also focuses on adding interactivity, formatting, and designing responsive dashboards to enhance user experience and data communication.

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Salesforce Certified Tableau Data Analyst Sample Questions (Q124-Q129):

NEW QUESTION # 124
You have the following line chart that shows the average sales by month.

Which month had the biggest increase in swage sales compared to me previous month in 2019?

Answer: C

Explanation:
Based on the line chart provided, each point on the line chart represents the average sales for a given month, and the percentage values indicate the change in average sales compared to the previous month. The month of November shows a significant increase from the month of October, indicated by a large upward spike on the chart and a high percentage increase.


NEW QUESTION # 125
A Data Analyst is given the following table and asked to create a flow that adds a date field to the data. This field should automatically update as new dates (months) are added to the original table.

Which technique should the analyst use as the first step to achieve this in Tableau Prep?

Answer: D


NEW QUESTION # 126
You have a data source that contains the following columns.

You want to sort customers based on the most expensive orders.
How should you complete the formula? (Use the dropdowns in the Answer Area to select the correct options to complete the formula.)

Answer:

Explanation:

Explanation:


NEW QUESTION # 127
You have the following view.

You want to filter the view lo show only records that have a movie name starting with the word. "The". You must achieve the goal without writing any formulas.
Which type of filter should you use?

Answer: A


NEW QUESTION # 128
A Data Analyst has a sales dataset that contains the following fields.

The analyst needs to analyze the average revenue per item sold in different regions over time.
Which two fields should the analyst measure? Choose two.

Answer: A,E

Explanation:
Revenue and Quantity are the two quantitative fields that must be measured to calculate average revenue per item. The analyst can derive the required business metric by relating the monetary Revenue measure to the Quantity measure, such as revenue divided by units sold at the appropriate aggregation level. Customer Region is required to segment the analysis geographically, but it is a dimension rather than the numeric value being measured. Order Date provides the time dimension for analysing the metric over time, and Product Name can further categorise the data, but neither is the primary quantitative measure required by the question.
Tableau defines measures as quantitative fields that can be numerically aggregated, while dimensions are qualitative fields used to group or segment the data. Therefore, Revenue and Quantity are the appropriate selections.


NEW QUESTION # 129
......

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