素敵Data-Cloud-Consultant｜完璧なData-Cloud-Consultant関連復習問題集試験｜試験の準備方法Salesforce Certified Data Cloud Consultant赤本合格率

安全かつ最も信頼性の高いSalesforce　Data-Cloud-Consultant問題集販売サイトとして、我々はお客様の個人情報を内緒し、支払いの安全性を保証しています。だから、我々社のSalesforce　Data-Cloud-Consultant問題集のさまざまなバージョンを安心に購買できます。弊社は量豊かのIT試験資料を所有するから、あなたは別のSalesforce　Data-Cloud-Consultant試験に関心を寄せるなら、Japancertでは需要したい資料を尋ねたり、弊社の職員に問い合わせたりしています。

Salesforce Data-Cloud-Consultant 認定試験の出題範囲：

トピック	出題範囲
トピック 1	データの取り込みとモデリング: このトピックでは、Data Cloud 内のさまざまな変換機能について説明します。さまざまなソースからのデータ取り込みのプロセスと考慮事項の説明、ID 解決に合わせたベストプラクティスを使用したデータの定義、マッピング、モデリングが含まれます。最後に、取り込まれたデータとモデリングされたデータを検査および検証するために利用可能なツールを使用する方法について説明します。
トピック 2	セグメンテーションとインサイト: このトピックでは、セグメンテーションとユースケースの基本概念を定義し、セグメントメンバーシップの分析、Data Cloud 内でのセグメントの構成、調整、維持、および計算されたインサイトとストリーミングインサイトの区別に関するシナリオを示します。
トピック 3	データに基づく行動: このトピックでは、アクティベーションとその基本的な使用例、属性と関連属性の使用、Data Cloud ライフサイクルに影響するタイミングの依存関係の特定と分析について説明します。また、アクティベーションに関する一般的な問題のトラブルシューティング、およびデータアクションの使用 (要件と想定される使用例を含む) にも重点を置いています。
トピック 4	アイデンティティ解決: マッチングとそのルールセットの適用方法について説明します。さらに、データとそのルールセットの調整、アイデンティティ解決の結果、およびユースケースについても説明します。

>> Data-Cloud-Consultant関連復習問題集 <<

100％合格率のData-Cloud-Consultant関連復習問題集 & 合格スムーズData-Cloud-Consultant赤本合格率 | ハイパスレートのData-Cloud-Consultant試験資料

なんで悩んでいるのですか。SalesforceのData-Cloud-Consultant認定試験にどうやって合格するかということを心配していますか。確かに、Data-Cloud-Consultant認定試験に合格することは困難なことです。しかし、あまりにも心配する必要はありません。試験に準備するとき、適当な方法を利用する限り、楽に試験に合格することができないわけではないです。では、どんな方法が効果的な方法なのかわかっていますか。JapancertのData-Cloud-Consultant問題集を使用することが最善の方法の一つです。Japancertは今まで数え切れないIT認定試験の受験者を助けて、皆さんから高い評判をもらいました。この問題集はあなたの試験の一発合格を保証することができますから、安心に利用してください。

Salesforce Certified Data Cloud Consultant 認定 Data-Cloud-Consultant 試験問題 (Q15-Q20):

質問 # 15
A consultant needs to update a field in CRM as soon as a record gets updated in the DMO.
Which feature should the consultant use?

A. Rapid segments
B. Streaming data transform
C. Data share target
D. Data actions

正解：D

質問 # 16
The leadership team at Cumulus Financial has determined that customers who deposited more than $250,000 in the last five years and are not using advisory services will be the central focus for all new campaigns in the next year.
Which features support this use case?

A. Calculated insight and data action
B. Streaming insight and segment
C. Calculated insight and segment
D. Streaming insight and data action

正解：C

解説：
* Understanding the Use Case:
The leadership team wants to focus on customers who have deposited more than $250,000 in the last five years and are not using advisory services.
Reference:
* Features Involved:
Calculated Insight: This feature helps derive metrics and values based on existing data. In this case, it can calculate total deposits over the last five years.
Segment: Segmentation allows targeting specific groups of customers based on defined criteria, such as total deposits and usage of advisory services.
* Steps to Implement:
Create a Calculated Insight:
Navigate to Visual Insights Builder in Salesforce Data Cloud.
Create a new calculated insight to sum deposits for each customer over the last five years.
Create a Segment:
Use the Segment Canvas to create a new segment.
Apply filters to include customers with deposits over $250,000 and exclude those using advisory services.
* Practical Application:
Example: Identify high-value customers who are not leveraging additional services and target them with personalized marketing campaigns to promote advisory services.

質問 # 17
A healthcare client wants to make use of identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII).
Which matching rule criteria should a consultant recommend for the most accurate matching results?

A. Fuzzy First Name, Exact Last Name, and Email
B. Email Address and Phone
C. Party Identification on Patient ID
D. Exact Last Name and Emil

正解：C

解説：
Identity resolution is the process of linking data from different sources into a unified profile of a customer or an individual. Identity resolution uses matching rules to compare the attributes of different records and determine if they belong to the same person. Matching rules can be based on exact or fuzzy matching of various attributes, such as name, email, phone, address, or custom identifiers. A healthcare client who wants to use identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII), such as name or email, should use a matching rule criteria that is based on a unique and reliable identifier that is specific to the healthcare domain. One such identifier is the patient ID, which is a unique number assigned to each patient by a healthcare provider or system. By using the party identification on patient ID as a matching rule criteria, the healthcare client can ensure that only records that have the same patient ID are matched and unified, and avoid false positives or false negatives that may occur due to common or similar names or emails. The party identification on patient ID is also a secure and compliant way of handling sensitive healthcare data, as it does not expose or share any PII that may be subject to data protection regulations or standards. Reference: Configure Identity Resolution Rulesets, A framework of identity resolution: evaluating identity attributes and methods

質問 # 18
What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?

A. Commerce Cloud Connector
B. Cloud Storage Connector
C. Marketing Cloud Personalization Connector
D. Ingestion API

正解：D

解説：
Explanation
The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to
100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security. References: Ingestion API Developer Guide, Ingest Data into Data Cloud

質問 # 19
During an implementation project, a consultant completed ingestion of all data streams for their customer.
Prior to segmenting and acting on that data, which additional configuration is required?

A. Data Activation
B. Identity Resolution
C. Data Mapping
D. Calculated Insights

正解：B

解説：
After ingesting data from different sources into Data Cloud, the additional configuration that is required before segmenting and acting on that data is Identity Resolution. Identity Resolution is the process of matching and reconciling source profiles from different data sources and creating unified profiles that represent a single individual or entity1. Identity Resolution enables you to create a 360-degree view of your customers and prospects, and to segment and activate them based on their attributes and behaviors2. To configure Identity Resolution, you need to create and deploy a ruleset that defines the match rules and reconciliation rules for your data3. The other options are incorrect because they are not required before segmenting and acting on the data. Data Activation is the process of sending data from Data Cloud to other Salesforce clouds or external destinations for marketing, sales, or service purposes4. Calculated Insights are derived attributes that are computed based on the source or unified data, such as lifetime value, churn risk, or product affinity5. Data Mapping is the process of mapping source attributes to unified attributes in the data model. These configurations can be done after segmenting and acting on the data, or in parallel with Identity Resolution, but they are not prerequisites for it. References: Identity Resolution Overview, Segment and Activate Data in Data Cloud, Configure Identity Resolution Rulesets, Data Activation Overview, Calculated Insights Overview, [Data Mapping Overview]

質問 # 20
......

Salesforce Certified Data Cloud Consultant Data-Cloud-Consultantは、技術的な精度の最高水準を高め、認定された主題と専門家のみを使用します。最新の正確なData-Cloud-Consultant試験トレントをクライアントに提供し、提供する質問と回答は実際の試験に基づいています。合格率が高く、約98％-100％であることをお約束します。また、Data-Cloud-Consultantテストブレインダンプは高いヒット率を高め、試験を刺激してData-Cloud-Consultant試験の準備を整えることができます。あなたの成功は、Data-Cloud-Consultant試験問題に縛られています。

Data-Cloud-Consultant赤本合格率: https://www.japancert.com/Data-Cloud-Consultant.html