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Salesforce Analytics-DA-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 4
  • 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.

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Salesforce Certified Tableau Data Analyst Sample Questions (Q77-Q82):

NEW QUESTION # 77
You have a data set that contains three columns named Sales, Profit, and Quantity.
You need to build the following scatter plot.

Answer:

Explanation:

Explanation:
To build the scatter plot shown in the image, you need to place the Profit measure on the Rows shelf and the Sales measure on the Columns shelf. This will create a Cartesian chart with Profit as the y-axis and Sales as the x-axis. Then, you need to change the mark type to Circle on the Marks card. This will display the data points as circles that vary in size according to the Quantity measure. You can also add color or shape encoding to the marks to show additional dimensions or measures in the view. References:
* Build a Scatter Plot
* Understanding and Using Scatter Plots
* Scatter plot in Tableau


NEW QUESTION # 78
A Data Analyst has the following view.

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

Answer: B


NEW QUESTION # 79
A Data Analyst has a data source that contains data for every city in the United States. The following is a sample of the data.

The analyst needs to use the City dimension to create a dynamic filter that shows the cities that have a population greater than 1 million.
Which type of filter should the analyst use?

Answer: A


NEW QUESTION # 80
A Data Analyst is creating a new data source made up of multiple tables and decides to use relationships during the creation process.
What is the advantage of using a relationship?

Answer: C

Explanation:
Tableau relationships provide a logical-layer approach to combining tables without requiring a fixed join type when the data source is created. The related tables remain separate, preserving their native level of detail.
When a visualization is queried, Tableau evaluates the fields currently being used and automatically determines the appropriate joins required for that analytical context. This makes relationships dynamic and context-aware. Option A is incorrect because the matching fields that define the relationship are established when the relationship is configured; they do not change simply because of user interactions. Option B is incorrect because relationships do not store the entire data source in a pre-aggregated format. Option D describes physical joining more closely because relationships specifically avoid merging all related tables into one physical table. Therefore, C accurately describes the principal advantage.


NEW QUESTION # 81
A Data Analyst wants to visualize the distribution of employee salaries across a large corporation. The analyst needs to divide the salary range into equal intervals for better analysis and presentation.
What should the analyst create to implement this in Tableau?

Answer: B

Explanation:
Bins divide a continuous numeric measure into a series of equal-sized ranges, making them the correct Tableau feature for analysing a salary distribution. For example, salary values could be divided into intervals of £10,000, with each employee assigned to the corresponding salary bin. The resulting binned dimension can then be used to create a histogram showing the frequency of salaries in each interval. Tableau documentation describes each bin as an equal-sized container representing a defined numeric range. A Group combines selected dimension members manually or logically, but it does not inherently create equal numeric intervals.
A hierarchy establishes drill-down relationships between dimensions, while a Set defines a subset of dimension members according to selection or rules. Therefore, Bins directly satisfy the requirement to divide a continuous salary range into equal intervals.


NEW QUESTION # 82
......

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