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Salesforce Data-Con-101赤本勉強 & Data-Con-101的中合格問題集

ちなみに、Fast2test Data-Con-101の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1WtDeVSLejocSm0vFqLw1rh93dIXiTEOS

Fast2testは他の同様のプラットフォームとは異なり、Data-Con-101実際のテストはSalesforce購入前に無料で試用できるため、サンプルの質問とソフトウェアの使用方法を理解できます。 また、自分のニーズに基づいて決定を下すことができ、後悔することはありません。 そして、Data-Con-101準備資料を改訂するために、専門家のグループを編成しました。 Data-Con-101ガイド急流のシンプルで理解しやすい言語は、学生であれオフィスワーカーであれ、学習者が困難を学ぶことから解放します。 そして、Data-Con-101のSalesforce Certified Data Cloud Consultant試験問題の合格率は99％〜100％です。

Salesforce Data-Con-101 認定試験の出題範囲：

トピック
出題範囲

トピック 1

• データ活用：この領域では、アクティベーションとデータアクションを通じて、データクラウドのデータを活用して下流のアクションを実行することに焦点を当てています。属性の操作、タイミングの依存関係の管理、エラーや拒否されたカウントなどのアクティベーションの問題のトラブルシューティング、自動化プロセスをトリガーするための要件の理解などが含まれます。

トピック 2

• データ取り込みとモデリング：この領域では、データクラウドへのデータの取り込みと、変換、さまざまなソースからの取り込み、データマッピングによる適切な構造化について扱います。ID解決をサポートするためのデータモデリングのベストプラクティスと、利用可能なツールを使用した取り込み済みデータの検証を重視します。

トピック 3

• ID解決：この領域では、照合および調整プロセスを通じて統合された顧客プロファイルを作成する方法を探求します。ルールセットがレコードのリンクをどのように決定するか、矛盾するデータがどのように解決されるか、そして統合されたIDの結果とユースケースについて理解します。

>> Salesforce Data-Con-101赤本勉強 <<

Data-Con-101的中合格問題集、Data-Con-101試験解答

Fast2testあなたは自分の仕事の能力が認められない、またはあなたが長い間昇進していないと不満を言うかもしれません。ただし、Data-Con-101試験に合格しようとすると、高収入で良い仕事を見つける可能性が高くなります。そのため、Data-Con-101の質問トレントを購入することをお勧めします。 Data-Con-101試験の教材を購入して学習すると、試験に合格してより良い仕事を得るための簡単なものであることがわかります。購入前にData-Con-101試験問題の概要を注意深くお読みください。私たちはあなたに最高のサービスを提供し、あなたが満足することを願っています。

Salesforce Certified Data Cloud Consultant 認定 Data-Con-101 試験問題 (Q98-Q103):

質問 # 98
A consultant is connecting sales order data to Data Cloud and considers whether to use the Profile, Engagement, or Other categories to map the DLO. The consultant chooses to map the DLO called Order- Headers to the Sales Order DMO using the Engagement category.
What is the impact of this action on future mappings?

• A. Only Engagement category DLOs can be mapped to the Sales Order DMO. Sales Order gets assigned to the Engagement Category.
• B. Sales Order DMO gets assigned to both the Profile and Engagement categories when mapping a Profile DLO.
• C. A DLO with category Engagement can be mapped to any DMO using either Profile. Engagement, or Other categories.
• D. When mapping a Profile DLO to the Sales Order DMO, the category gets updated to Profile.

正解：A

解説：
Data Lake Objects (DLOs) and Data Model Objects (DMOs): In Salesforce Data Cloud, DLOs are mapped to DMOs to organize and structure data. Categories like Profile, Engagement, and Other define how these mappings are used.
Engagement Category: Mapping a DLO to the Engagement category indicates that the data is related to customer interactions and activities.
Impact on Future Mappings:
Engagement Category Restriction: When a DLO like Order-Headers is mapped to the Sales Order DMO under the Engagement category, future mappings of the Sales Order DMO are restricted to Engagement category DLOs.
Category Assignment: The Sales Order DMO is assigned to the Engagement category, meaning only DLOs categorized as Engagement can be mapped to it in the future.
Benefits:
Consistency: Ensures consistent data categorization and usage, aligning data with its intended purpose.
Accuracy: Helps in maintaining the integrity of data mapping and ensures that engagement-related data is accurately captured and utilized.
References:
Salesforce Data Cloud Mapping
Salesforce Data Cloud Categories

質問 # 99
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers

• A. New data sources have been added to Data Cloud that largely overlap with the existing profiles.
• B. Identity resolution rules have been removed to reduce the number of matched profiles.
• C. Duplicates have been removed from source system data streams.
• D. Identity resolution rules have been added to the ruleset to increase the number of matchedprofiles.

正解：A、D

解説：
The consolidation rate is a metric that measures the amount by which source profiles are combined to produce unified profiles in Data Cloud, calculated as 1 - (number of unified profiles / number of source profiles). A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created. There are two likely explanations for why the consolidation rate has recently increased for a customer:
New data sources have been added to Data Cloud that largely overlap with the existing profiles. This means that the new data sources contain many profiles that are similar or identical to the profiles from the existing data sources. For example, if a customer adds a new CRM system that has the same customer records as their old CRM system, the new data source will overlap with the existing one. When Data Cloud ingests the new data source, it will use the identity resolution ruleset to match and merge the overlapping profiles into unified profiles, resulting in a higher consolidation rate.
Identity resolution rules have been added to the ruleset to increase the number of matched profiles. This means that the customer has modified their identity resolution ruleset to include more match rules or more match criteria that can identify more profiles as belonging to the same individual. For example, if a customer adds a match rule that matches profiles based on email address and phone number, instead of just email address, the ruleset will be able to match more profiles that have the same email address and phone number, resulting in a higher consolidation rate.
Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Configure Identity Resolution Rulesets

質問 # 100
During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

• A. Data Consolidation
• B. Harmonization
• C. Identity Resolution
• D. Data Cleansing

正解：C

解説：
The feature that the consultant should highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile is D. Identity Resolution. Identity Resolution is the process of identifying, matching, and reconciling data about individuals across different data sources and creating a unified profile that represents a single view of the customer. Identity Resolution uses various methods and rules to determine the best match and reconciliation of data, such as deterministic matching, probabilistic matching, reconciliation rules, and identity graphs. Identity Resolution enables the customer to have a complete and accurate understanding of their customers and their interactions across different channels and touchpoints. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution

質問 # 101
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. Calculated Insights
• B. Data Activation
• C. Identity Resolution
• D. Data Mapping

正解：C

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 # 102
To import campaign members into a campaign in Salesforce CRM, a user wants to export the segment to Amazon S3. The resulting file needs to include the Salesforce CRM Campaign ID in the name.
What are two ways to achieve this outcome?
Choose 2 answers

• A. Hard code the campaign identifier as a new attribute in the campaign activation.
• B. Include campaign identifier in the segment name.
• C. Include campaign identifier in the activation name.
• D. Include campaign identifier in the filename specification.

正解：C、D

解説：
The two ways to achieve this outcome are A and C. Include campaign identifier in the activation name and include campaign identifier in the filename specification. These two options allow the user to specify the Salesforce CRM Campaign ID in the name of the file that is exported to Amazon S3. The activation name and the filename specification are both configurable settings in the activation wizard, where the user can enter the campaign identifier as a text or a variable. The activation name is used as the prefix of the filename, and the filename specification is used as the suffix of the filename. For example, if the activation name is
"Campaign_123" and the filename specification is "{segmentName}_{date}", the resulting file name will be
"Campaign_123_SegmentA_2023-12-18.csv". This way, the user can easily identify the file that corresponds to the campaign and import it into Salesforce CRM.
The other options are not correct. Option B is incorrect because hard coding the campaign identifier as a new attribute in the campaign activation is not possible. The campaign activation does not have any attributes, only settings. Option D is incorrect because including the campaign identifier in the segment name is not sufficient.
The segment name is not used in the filename of the exported file, unless it is specified in the filename specification. Therefore, the user will not be able to see the campaign identifier in the file name.

質問 # 103
......

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