もしお客様は初心者であるなら、我が社のSalesforce Certified CRM Analytics and Einstein Discovery Consultant学習資料はより良い勉強方法とトレーニングガイドを提供して、お客様の学習の効率を向上させることができます。お客様はただ20～30時間ぐらいがかかって、我々のAnalytics-Con-201試験学習資料を練習すれば、試験に参加することができて、高いポイントを得られます。

我が社のAnalytics-Con-201試験勉強資料をオンランでダウンロードできます。Analytics-Con-201試験問題教材のデモを無料に提供して、お客様が購入前に試験学習資料の正確性を良く了解することができます。お客様の支払い終了に、１０分以内にAnalytics-Con-201試験勉強資料をメールボックスに受け入れます。

デモをダウンロードする

無料更新サービス

我々社のAnalytics-Con-201試験勉強資料は認定試験の情報によって更新されています。購入の日から一年以内に更新サービスを無料で提供して、我々社のシステムはメールで更新しているAnalytics-Con-201試験勉強資料をタイムリーに送信します。お客様は最新のAnalytics-Con-201試験勉強資料を得られるために、弊社は日々努力しています。

正確の問題と解答

すべてのAnalytics-Con-201試験問題は、Analytics-Con-201豊かな認定知識を所有する専門家は過去の試験データと最新の試験情報をまとめて作られるテストエンジンです。我々社の学習教材は実際試験内容を約98％にカバーし、あなたはAnalytics-Con-201模擬試験で高いポイントを保証します。支払い前に、試験問題集の無料デモをダウンロードして、質問と回答の正確性をチェックしてください。

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

1. Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?

A) Use a Repeater Widget that updates automatically as the data flows through the system.
B) Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.
C) Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.

2. Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

A) Stop the recipe from running in Data Manager.
B) Cancel running installations from Setup
C) Update the app with the new field after installation.

3. A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?

A) XGBoost
B) Support Vector Machines
C) K-Nearest Neighbors

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

5. In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A) In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
B) Create an XMD node in the recipe to change the label and color of the values in the fields.
C) Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.

質問と回答：