P.S. Free 2026 Salesforce Analytics-DA-201 dumps are available on Google Drive shared by PassSureExam: https://drive.google.com/open?id=1Nt_I_rhnPoLurFgZl_Jm1BShZ6NK1sIa
We did not gain our high appraisal by our Analytics-DA-201 real exam for nothing and there is no question that our Analytics-DA-201 practice materials will be your perfect choice. Though it is unavoidable that you may baffle by some question points during review process, our Analytics-DA-201 Study Guide owns clear analysis under some necessary questions. So as long as you practice our Analytics-DA-201 training quiz, you will perfect yourself to pass your exam successfully.
| Section | Weight | Objectives |
|---|---|---|
| Connect and Prepare Data | 25% | - Data Preparation
|
| Explore and Analyze Data | 35% | - Data Exploration
|
| Create Visualizations and Dashboards | 25% | - Dashboard Design
|
| Data Governance and Security | 15% | - Security and Ethics
|
>> Braindump Analytics-DA-201 Free <<
In today's technological world, more and more students are taking the Analytics-DA-201 exam online. While this can be a convenient way to take an Salesforce Analytics-DA-201 exam dumps, it can also be stressful. Luckily, PassSureExam's best Salesforce Analytics-DA-201 exam questions can help you prepare for your Salesforce Analytics-DA-201 Certification Exam and reduce your stress. If you are preparing for the Salesforce Certified Tableau Data Analyst (Analytics-DA-201) exam dumps our Analytics-DA-201 Questions help you to get high scores in your Analytics-DA-201 exam.
NEW QUESTION # 16
You connect to a database server by using Tableau Prep. The database server has a data role named Role1.
You have the following field in the data.
You need to apply the Role1 data role to the Material field.
Which two actions should you perform? Choose two.
Answer: A,B
Explanation:
To apply a custom data role to a field, you need to select the data type of the field and then choose the data role from the list of available roles. This will validate the values in the field against the data role and mark any invalid values with a red exclamation mark. To fix the invalid values, you can use the Group Values option and select the Spelling algorithm, which will group values that are close in spelling and replace them with the most frequent value in the group. This will help you standardize the values in the Material field and match them with the Role1 data role. References: The information is based on the following sources:
* Use Data Roles to Validate your Data - Tableau
* New in Tableau Prep: Automatically identify data quality issues with Data Roles
NEW QUESTION # 17
You have a dataset that contains daily sales by business segment from 2017 to the present You want to use monthly historical trends to predict sales by segment in the future Which three actions should you perform m order?
(Place the three correct options in order Use the arrows to move Options lo Answer Area I In Answer Area arrows to re order the options.)
Answer:
Explanation:
Explanation:
The correct order of the three actions is:
* Add the date to the Columns shelf. Add the segment and the sales to the Rows shelf.
* Aggregate the date to month and year.
* From the Analytics pane, drag Forecast to the worksheet.
The first action is to add the date to the Columns shelf and the segment and the sales to the Rows shelf. This will create a line chart that shows the daily sales by segment over time. You can use the Show Me menu to choose a line chart if it is not selected by default.
The second action is to aggregate the date to month and year. This will group the daily sales into monthly sales and show the yearly trend. You can right-click on the date field on the Columns shelf and select Month (January 2017) from the menu. You can also drag Year from the Dimensions pane to the Columns shelf before or after Month.
The third action is to drag Forecast from the Analytics pane to the worksheet. This will add a forecast that predicts future sales by segment based on historical trends. You can customize the forecast by clicking on it and using the options on the Marks card.
The other options are not relevant for this scenario. Adding a trend line would show a linear or nonlinear relationship between two measures, but not a prediction of future values. Creating a calculated field that uses the model quantile function would return a value from a statistical model based on a given quantile, but not a forecast.
References: https://help.tableau.com/current/pro/desktop/en-us/analytics.htm https://help.tableau.com/current
/pro/desktop/en-us/buildmanual_shelves.htm https://help.tableau.com/current/pro/desktop/en-us/dates.htm
https://help.tableau.com/current/pro/desktop/en-us/analytics_forecast.htm https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_statistical.htm#MODEL_QUANTILE
NEW QUESTION # 18
A Data Analyst has a dataset that contains the fallowing rows of sales data.
The analyst needs to return a value of TRUE if a month has sales greater than $50,000; otherwise, the formula must return a value of FALSE.
Which two formulas achieve this goal? (Choose two.)
Answer: B,D
NEW QUESTION # 19
You have the following dataset.
You want to create a new calculated dimension field named Category that meets the following conditions:
. When Subject is Computer Science or Science, Category must be Sciences.
. When Subject is English or Social Studies, Category must be Humanities.
Which two logical functions achieve the goal? Choose two.
Answer: B,C
Explanation:
To create a new calculated dimension field named Category that meets the given conditions, you can use either the IF or the CASE logical function. Both functions allow you to evaluate an expression and return a value based on different scenarios. Option A uses the IF function with multiple ELSEIF clauses to check the value of the Subject field and assign it to either 'Sciences' or 'Humanities'. Option D uses the CASE function with multiple WHEN clauses to do the same thing. Both options will produce the same result, but the CASE function is more concise and easier to read. Option B is incorrect because it will assign 'Humanities' to any subject that contains 'Science' in its name, which is not the desired outcome. Option C is incorrect because it will only check if the subject ends with 'Computer Science' and ignore the other subjects. References:
* Logical Functions - Tableau
* Tableau Certified Data Analyst Study Guide
NEW QUESTION # 20
You have the following two datasets:
* A Microsoft Excel worksheet that has two columns named Employee Name and Department
* A Microsoft SQL Server table that has three columns named Employee Name. Pay Grade and Team Size.
You want to use Tableau Prep to join the two datasets.
Which three actions should you perform in order? (Place the three correct options in order.)
Answer:
Explanation:
Explanation:
The correct order of the three actions is:
* From the connections pane, connect to both data sources
* Join both datasets and select the join type
* Specify Employee Name as the join key
The first action is to connect to both data sources from the connections pane in Tableau Prep. The connections pane is where you can access and add data sources to your flow. You can connect to various types of data sources, such as Excel, SQL Server, or Tableau Server. In this case, you want to connect to an Excel worksheet and a SQL Server table.
The second action is to join both datasets and select the join type. A join is a way of combining data from two or more tables based on a common field. You can join datasets by dragging one table to the canvas and dropping it on top of another table. This will create a join step in your flow. You can select the join type from the drop-down list on the join step. The join type determines which rows are returned from the tables.
The third action is to specify Employee Name as the join key. A join key is a field that is used to match rows from different tables. You can specify the join key by clicking on the field name in each table and dragging it to the center of the join step. This will create a join clause that shows the field name and the operator. In this case, you want to use Employee Name as the join key, because it is a common field between the two datasets.
The other options are not relevant for this scenario. Specifying Department and Team Size as a join condition will not work, because they are not common fields between the two datasets. Opening both data sources in Tableau Desktop will not help you join them in Tableau Prep. Adding a step to aggregate the data in the SQL Server table will not affect the join, but it may change the level of detail of your data. References: https://help.
tableau.com/current/prep/en-us/prep_connect.htm https://help.tableau.com/current/prep/en-us/prep_join.htm
https://help.tableau.com/current/prep/en-us/prep_join_types.htm
NEW QUESTION # 21
......
Market is a dynamic place because a number of variables keep changing, so is the practice materials field of the Analytics-DA-201 practice exam. Our Analytics-DA-201 exam dumps are indispensable tool to pass it with high quality and low price. By focusing on how to help you effectively, we encourage exam candidates to buy our Analytics-DA-201 practice test with high passing rate up to 98 to 100 percent all these years. Our Salesforce exam dumps almost cover everything you need to know about the exam. As long as you practice our Analytics-DA-201 Test Question, you can pass exam quickly and successfully. By using them, you can not only save your time and money, but also pass Analytics-DA-201 practice exam without any stress.
Exam Analytics-DA-201 Questions: https://www.passsureexam.com/Analytics-DA-201-pass4sure-exam-dumps.html
DOWNLOAD the newest PassSureExam Analytics-DA-201 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1Nt_I_rhnPoLurFgZl_Jm1BShZ6NK1sIa