Analytics-DA-201최신업데이트버전덤프공부 - Analytics-DA-201인기자격증

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IT업계의 치열한 경쟁속에 살아 남으려면 자신의 능력을 증명하여야 합니다. 국제승인을 받는 IT인증자격증을 많이 취득하시면 취직이든 승진이든 이직이든 모든 면에서 이득을 볼수 있습니다. 최근 Salesforce인증 Analytics-DA-201시험에 도전하는 분이 많은데 DumpTOP에서 Salesforce인증 Analytics-DA-201시험에 대비한 가장 최신버전 덤프공부가이드를 제공해드립니다.
Salesforce Analytics-DA-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Explore and Analyze Data | 35% | - Statistical Analysis
- 1. Correlation and distributions
- 2. Basic statistical concepts
- Data Exploration
- 1. Use aggregations and filters
- 2. Identify trends and patterns
|
| Connect and Prepare Data | 25% | - Data Preparation
- 1. Clean and transform data
- 2. Handle missing or inconsistent data
- Data Connections
- 1. Understand data types and structures
- 2. Connect to various data sources
|
| Data Governance and Security | 15% | - Data Governance
- 1. Understand data governance principles
- Security and Ethics
- 1. Data privacy and ethical use of data
|
| Create Visualizations and Dashboards | 25% | - Dashboard Design
- 1. Design interactive dashboards
- 2. Apply best practices for usability
- Visualization Development
- 1. Build charts and graphs
- 2. Select appropriate visual encodings
|
>> Analytics-DA-201최신 업데이트버전 덤프공부 <<
Analytics-DA-201인기자격증 - Analytics-DA-201유효한 시험대비자료
Salesforce인증 Analytics-DA-201시험은 빨리 패스해야 되는데 어디서부터 어떻게 시험준비를 시작해야 하는지 갈피를 잡을수 없는 분들은DumpTOP가 도와드립니다. DumpTOP의 Salesforce인증 Analytics-DA-201덤프만 공부하면 시험패스에 자신이 생겨 불안한 상태에서 벗어날수 있습니다.덤프는 시장에서 가장 최신버전이기에 최신 시험문제의 모든 시험범위와 시험유형을 커버하여Salesforce인증 Analytics-DA-201시험을 쉽게 패스하여 자격증을 취득하여 찬란한 미래에 더 가깝도록 도와드립니다.
최신 Tableau Data Analyst Analytics-DA-201 무료샘플문제 (Q141-Q146):
질문 # 141
You have the following dataset
You need to create the following visualization.

Which quick table calculation should you drag to Text on the Marks card?
- A. Compound Growth Rate
- B. Percentile
- C. Percent Difference
- D. Percent of Total
정답:D
설명:
we need to create a quick table calculation that shows the percent of total sales for each category and sub- category. To do this, we can follow these steps:
* Drag Category to Columns and Sub-Category to Rows.
* Drag Sales to Text on the Marks card.
* Right-click Sales on the Marks card and select Quick Table Calculation > Percent of Total.
* Right-click Sales on the Marks card again and select Compute Using > Category.
This will create a quick table calculation that shows the percent of total sales for each sub-category within each category. The visualization will look like this:
질문 # 142
You have a dataset that has four fields named Category. Profit Sates and Customer Name. You need to create the following visualization.

정답:
설명:

Explanation:
Sales: B. Columns
Profit: D. Rows
Customer Name: C. Detail on the Marks card
Category: A. Color on the Marks card
To create the visualization, you need to drag Sales to Columns, Profit to Rows, Customer Name to Detail on the Marks card, and Category to Color on the Marks card. This will create a scatter plot that shows the relationship between Sales and Profit for each Customer Name, with different colors for each Category.
References: https://help.tableau.com/current/pro/desktop/en-us/buildmanual_shelves.htm
https://help.tableau.com/current/pro/desktop/en-us/buildexamples_scatter.htm
질문 # 143
A Data Analyst would like to receive the draft results of a colleague's Tableau Prep flow to start work on a dashboard before it has been published.
What should the analyst do to accomplish this?
- A. Have the colleague output the results of the flow to a .hyper file. On the Tableau Desktop Connect page, under To a File, choose "More ...", and browse for the .hyper file on the local file system.
- B. Open Tableau Desktop and make a connection to Tableau Prep, then choose the colleague's flow that the analyst wants to connect to.
- C. Have the colleague output the results of the flow to a .hyper file. Create a new workbook in Tableau Cloud, choose Files on the Connect to Data page, and upload the .hyper file from the computer.
- D. On the Tableau Desktop Connect page, under To a File, choose "More ...", and browse for the colleague's .tf file on the local file system.
정답:A
질문 # 144
You have the following visualization.

The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
정답:A
설명:
The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using 'Order Date', it will change the partitioning of the calculation. If
'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.
The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since
"Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition.
Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.
질문 # 145
A Data Analyst has the following two tables named Orders and Returns.

The analyst needs to get the Customer ID and Customer Name for only the orders that were returned. Orders will be the leading table.
Which type of join should the analyst perform in Tableau Prep?
- A. Left join
- B. Full join
- C. Unmatched only join
- D. Inner join
정답:D
질문 # 146
......
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