Salesforce Analytics-Con-201

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Jpshikenは試験のコンセプトとキーポイントを把握し、受験者たちに有効なAnalytics-Con-201勉強資料を準備します。Analytics-Con-201関連勉強資料は本番試験内容の95％をカバーします。すべての勉強資料は実際試験に出る問題と解答があります。70%問題は解説をつきます。

初心者であっても、我が社のSalesforce Certified CRM Analytics and Einstein Discovery Consultant試験勉強資料の学習ガイドは適合です。20から40までの時間を費やして認定試験専門知識を掌ります。自信満々に試験に参加して高いポイントを得られます。

Analytics-Con-201認定資格試験の難しさなので、我々サイトAnalytics-Con-201であなたに適当する認定試験関連学習資料を見つけるし、本当の試験での試験問題の難しさを克服することができます。当社はAnalytics-Con-201認定試験の最新要求にいつもでも関心を寄せて、最新かつ質高い模擬資料を準備します。また、購入する前に、無料のPDF版デモをダウンロードして正確性をチェックすることができます。

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Analytics-Con-201試験勉強資料は試験の情報に従って常に更新を行います。お客様に購入日から一年以内の更新サービスを無料に提供します。更新があると、我々社のシステムはAnalytics-Con-201試験勉強資料のアップデート版をタイムリーに送信します。

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題:

1. A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

A) Create a second dashboard and move the table to this new dashboard.
B) Create a second page on the dashboard and move the table to this new page.
C) Create a Visualforce page and display a list view of the Opportunities on this new page.

2. Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?

A) Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.
B) Create a selection based Interaction and apply It to the query of "Query ple 3".
C) Set up a result and selection based interaction for each query.

3. A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded?

A) Storage rows of data
B) Salesforce external connector number of synced rows
C) Total number of enabled objects

4. A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A) Drop the field as it will be difficult to get future respondents.
B) Apply the predict missing values transformation in recipe nodes.
C) Fill in the missing data with an average of all incomes.

5.
Which timeseries statement will fix the query?

A) q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region');
B) q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
C) q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);

質問と回答：