Salesforce : Einstein-Analytics-and-Discovery-Consultant日本語 Questions & Answers

Last Updated: Oct 10, 2026

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Ask anyone who has sat the Einstein-Analytics-and-Discovery-Consultant日本語 exam: the questions are worded to test judgment, not just memory. The 210 practice questions from ActualTorrent mirror that style, so nothing about the Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) feels unfamiliar on the big day.

Salesforce Einstein-Analytics-and-Discovery-Consultant日本語 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Einstein Analytics and Discovery Consultant
Exam Number:Einstein-Analytics-and-Discovery-Consultant / Analytics-Con-201
Real Exam Qty:60 (plus up to 5 unscored items)
Exam Format:Multiple-choice, Scenario-based, Multiple-select
Related Certifications:Salesforce Certified Administrator
Salesforce Certified Tableau CRM and Einstein Discovery Consultant
Available Languages:English
Exam Duration:90 minutes
Certificate Validity Period:3 years (requires annual maintenance)
Exam Price:USD 200 (plus applicable taxes; retake fee USD 100)
Passing Score:68%
Recommended Training:Official Exam Guide
Trailhead Study Trails
Exam Registration:Salesforce Certification Portal
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or onsite at Pearson VUE / PSI testing centers
Pre Condition:No mandatory prerequisites; recommended 1+ year hands-on experience with Einstein Analytics, Salesforce Admin knowledge helpful
Official Syllabus URL:https://developer.salesforce.com/resources2/certification-site/files/SGCertifiedEinsteinAnalyticsandDiscoveryConsultant.pdf

Salesforce Einstein-Analytics-and-Discovery-Consultant日本語 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery12%- Predictions in dashboards and Salesforce objects
- Story creation and interpretation
- Model deployment and write-back
- Data preparation for modeling
Data Layer23%- Schema, XMD and derived fields
- Data ingestion and connectors
- Dataset creation, transformation and management
- Data sync, dataflows and recipes
Analytics Dashboard Implementation19%- Bindings, interactivity and filters
- Dashboard embedding and performance
- Advanced SAQL and custom logic
Security and Access16%- Row-level security and sharing inheritance
- User provisioning and governance
- Predicate expressions and encryption
- App and dataset permissions
Administration and Configuration17%- Performance optimization and limits
- Platform setup and deployment
- Template apps and API usage
- Migration and change management
Analytics Dashboard Design13%- Layout and mobile optimization
- Lens creation and SAQL basics
- Chart selection and UX best practices

Your Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) Questions, Answered

Registration for the Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) goes through the official channels listed here:

As for the format, the Einstein-Analytics-and-Discovery-Consultant日本語 exam is delivered Online proctored or onsite at Pearson VUE / PSI testing centers — pick whichever fits your situation when you schedule.

The official Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) blueprint is divided into 6 domains, led by Analytics Dashboard Design (13%), Administration and Configuration (17%), and Security and Access (16%). The full domain-by-domain breakdown is in the syllabus section above — that is the checklist your study plan should follow.

The passing score for the Einstein-Analytics-and-Discovery-Consultant日本語 exam is 68%, and registering officially costs USD 200 (plus applicable taxes; retake fee USD 100). That fee buys exactly one attempt — if you fall short, the retake is charged in full again, no discount for a second try. The practical move is to measure yourself first: drill the 210 practice questions at ActualTorrent under timed conditions until your mock scores clear the bar with room to spare, then book your seat.

You can. ActualTorrent publishes a free PDF demo of the Einstein-Analytics-and-Discovery-Consultant日本語 practice questions — download it, work through it, and decide on evidence rather than promises. Once you own the full product, 365 days of free updates are included, and an expired product can have its update service renewed at a 50% discount from your member zone.

The Einstein-Analytics-and-Discovery-Consultant日本語 exam — officially the Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) — is how Salesforce verifies that you can apply its technologies in real working scenarios, and passing it earns you the Salesforce Certified Einstein Analytics and Discovery Consultant certification, a credential at the Professional / Consultant level. Employers recognize it because it is vendor-issued and skills-based. Candidates often continue toward related credentials such as Salesforce Certified Administrator, Salesforce Certified Tableau CRM and Einstein Discovery Consultant once this one is in hand.

Yes — Salesforce lists these training options for the Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版):

Courseware teaches the concepts; repetition makes them exam-proof. Combine whichever course you choose with the 210 practice questions from ActualTorrent and you cover both halves of preparation.

You will face 60 (plus up to 5 unscored items) questions within 90 minutes on the Einstein-Analytics-and-Discovery-Consultant日本語 exam. Do the math once and the lesson is clear: dwell too long on a hard item and the clock eats your easy points later. The fix is rehearsal, not luck — take full-length timed mocks in the ActualTorrent desktop or online test engine until pacing becomes automatic, and learn to flag a question, move on, and return with fresh eyes.

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No mandatory prerequisites; recommended 1+ year hands-on experience with Einstein Analytics, Salesforce Admin knowledge helpful

Vendor policies shift from time to time, so treat this as your starting point and verify the current criteria on the official Salesforce exam page before you schedule anything.

Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) Sample Questions:

Question #1


ユニバーサルコンテナには、Sales Managerダッシュボードがあります-顧客数と年間およびアカウントタイプごとの年間収益の合計を表示する比較テーブルがあります。コンサルタントは、顧客に関する詳細を強化するために、さらにグループ化を追加するよう求められます。
比較テーブルの使用とSAQLを使用したクエリの作成を継続するためにコンサルタントが認識しなければならないグループ化列の最大数はどれくらいですか?

  • A. 無制限
  • B. 10
  • C. 4
  • D. 8
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

目標に対して実現された販売収益の進捗を追跡するのに最適なチャートタイプはどれですか?

  • A. フラットゲージ
  • B. 棒グラフ
  • C. 円グラフ
  • D. ピボットテーブル
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

企業は、Einstein Analyticsを使用して、販売パイプラインの傾向を分析したいと考えています。同社は販売プロセスを加速したいと考えています。そのためには、各段階で機会が費やす平均時間を知る必要があります。
この値はSalesforceで事前に計算されないため、コンサルタントはデータフローを使用して計算することを推奨しています。
データフローを使用して、機会が各段階で費やす平均時間を計算するにはどうすればよいですか?

  • A. 期間を計算するためのSAQL式を使用したcomputeExpression変換
  • B. 期間を計算するためのSAQL式を使用したcomputeRelative変換
  • C. オフセット式を使用して変換を平坦化し、期間を計算します
  • D. 期間を計算するためのoffsetパラメーターを使用したcomputeRelative変換
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

組織ごとの最大同時API Analytics呼び出し

  • A. 200
  • B. 50
  • C. 100
  • D. 500
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

大企業がEinstein Analyticsをフィールドセールスに展開しています。それらには、明確に定義されたロール階層があり、全員が階層上の適切なノードに割り当てられます。
個々の営業担当者は、自分が所有するすべての商談を表示できるか、アカウントチームまたは商談チームの一部として表示できる必要があります。セールスマネージャーは、セールスチーム全体のすべての商談を表示できる必要があります。
同様に、営業担当副社長は、その階層でロールアップするすべての人の機会を表示できる必要があります。
オポチュニティデータセットには、オポチュニティの所有者を表す「Ownerld」というフィールドがあります。
この情報が与えられた場合、アインシュタインコンサルタントは上記の要件をどのように実装できますか?

  • A. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called
    'ParentRolelDs' on the opportunity
    dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' ==
    "$User.Id".
  • B. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" &&
    'Ownerld' == "SUser.Id".
  • C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called
    'ParentRolelDs' on the opportunity
    dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' ==
    "$User.Id".
  • D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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