ちなみに、GoShiken 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=1oMS9ruLHgJKh3l0TmhMgWQgHcD7sZDt9
ご存知のように、当社GoShikenのData-Con-101模擬試験には広大な市場があり、Salesforceお客様から高く評価されています。 Data-Con-101練習教材に少額の料金を支払うだけで、99％の確率でData-Con-101試験に合格し、良い生活を送ることができます。 あなたの将来の目標はこの成功した試験から始まると確信しています。 したがって、Data-Con-101トレーニング資料を選択することは賢明な選択です。 私たちの練習資料は、あなたの夢を達成するのにSalesforce Certified Data Cloud Consultant役立つ知識のプラットフォームを提供します。 Data-Con-101実践教材を選択して購入してください。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Overview | 18% | - Core functions, terminology, and business value - Architecture, dependencies, and lifecycle - Data ethics and responsible usage principles - Common enterprise use cases |
| Topic 2: Act on Data | 18% | - Attributes, related attributes, and timing dependencies - Activation concepts and use cases - Troubleshooting activation issues - Data actions and requirements |
| Topic 3: Data Cloud Setup and Administration | 12% | - Data streams, data bundles, and data spaces - Permissions, permission sets, and org settings - Data exploration and diagnostics: Explorer tools, APIs - Administration tools: reports, dashboards, flows, packaging |
| Topic 4: Identity Resolution | 14% | - Unified identity outcomes and use cases - Reconciliation rules and data unification - Matching rules and application |
| Topic 5: Data Ingestion and Modeling | 20% | - Ingestion from various source systems - Transformation and data mapping capabilities - Data modeling best practices aligned with identity resolution - Validation and inspection of ingested data |
| Topic 6: Segmentation and Insights | 18% | - Calculated vs. streaming insights - Segmentation concepts and business scenarios - Segment creation, maintenance, and membership analysis |
>> Salesforce Data-Con-101難易度受験料 <<
当社GoShikenのすべての専門家および教授の唯一の目標は、すべての人々に最適で適切なData-Con-101学習教材を設計することです。多くの顧客のさまざまな要求に応じて、彼らはすべての顧客向けに3つの異なるバージョンのData-Con-101認定試験ガイド資料を設計しました：PDF、ソフト、およびAPPバージョン。弊社のData-Con-101試験問題を使用するすべての人がData-Con-101試験に合格し、関連する認定資格を取得できることを心から願っています。そして、Data-Con-101試験問題の合格率は98％以上です。
質問 # 91
Cumulus Financial offers both business and personal loans. Records in the Contact DLO can be useful for both groups since individual customers may have both business and personal loans. However, for legal reasons, the two groups must be kept separate.
How should Cumulus Financial solve this business requirement?
正解：B
解説：
To address the business requirement where Cumulus Financial needs to keep business and personal loan records separate for legal reasons while still leveraging the same Contact DLO, the best solution is to use two data spaces . Here's why and how this works:
Understanding Data Spaces in Salesforce Data Cloud :Data spaces are logical containers within Salesforce Data Cloud that allow organizations to segment their data based on specific business needs, compliance requirements, or privacy regulations. They enable isolation of data processing and identity resolution rules while still allowing access to shared data objects like the Contact DLO.
Why Two Data Spaces?
By creating two data spaces (e.g., one for business loans and another for personal loans), Cumulus Financial can maintain separation between the two groups for legal compliance.
Both data spaces can reference the same Contact DLO, ensuring that individual customer data is not duplicated but is accessible in both contexts.
Identity resolution rules can be configured independently within each data space to ensure that the segmentation aligns with the legal requirements.
Steps to Implement This Solution :
Step 1: Navigate to the Data Spaces section in Salesforce Data Cloud.
Step 2: Create two new data spaces: one for "Business Loans" and another for "Personal Loans." Step 3: Configure the identity resolution rules separately for each data space to ensure proper segmentation.
Step 4: Link the existing Contact DLO to both data spaces. This ensures that the same contact data is available in both contexts without duplication.
Step 5: Set up activation rules and permissions to ensure that data from one data space cannot inadvertently mix with the other.
Why Not Other Options?
A). Duplicate the Individual DMO: This would lead to unnecessary duplication of data and increase storage costs. It also introduces complexity in maintaining consistency across duplicated records.
B). Duplicate the Contact DLO: Similar to duplicating the DMO, this approach increases storage and maintenance overhead without solving the core issue of legal separation.
C). Create two identity resolution rules in the same data space: While this might seem like a viable option, it does not provide the required legal separation since both groups would still exist within the same data space.
By using two data spaces, Cumulus Financial achieves the necessary legal separation while maintaining efficiency and avoiding data redundancy.
質問 # 92
A customer creates a large segment of customers that placed orders in the last 30 days, and adds related attributes from the... to the activation. Upon checking the activation in Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue?
正解：B
解説：
The issue arises because the activated segment in Marketing Cloud contains orders older than 30 days, despite the segment being defined to include only recent orders. The best solution is to apply a filter to the Purchase Order Date to exclude older orders. Here's why:
Understanding the Issue
The segment includes related attributes from the purchase order data.
Despite filtering for orders placed in the last 30 days, older orders are appearing in the activation.
Why Apply a Filter to Purchase Order Date?
Root Cause :
The related attributes (e.g., purchase order details) may not be filtered by the same criteria as the segment.
Without a specific filter on the Purchase Order Date , older orders may inadvertently be included.
Solution Approach :
Applying a filter directly to the Purchase Order Date ensures that only orders within the desired timeframe are included in the activation.
Other Options Are Less Suitable :
A). Use data graphs that contain only 30 days of data : Data graphs are not typically used to filter data for activations.
B). Apply a data space filter to exclude orders older than 30 days : Data space filters apply globally and may unintentionally affect other use cases.
D). Use SQL in Marketing Cloud Engagement to remove orders older than 30 days : This is a reactive approach and does not address the root cause in Data Cloud.
Steps to Resolve the Issue
Step 1: Review the Segment Definition
Confirm that the segment filters for orders placed in the last 30 days.
Step 2: Add a Filter to Purchase Order Date
Modify the activation configuration to include a filter on the Purchase Order Date , ensuring only orders within the last 30 days are included.
Step 3: Test the Activation
Publish the segment again and verify that the activation in Marketing Cloud contains only the desired orders.
Conclusion
By applying a filter to the Purchase Order Date , the consultant ensures that only orders placed in the last 30 days are included in the activation, resolving the issue effectively.
質問 # 93
A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.
When ingesting Case data, which field is recommended to be associated with the Event Time field?
正解：B
解説：
The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions
質問 # 94
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?
正解：A
解説：
When a record in the Data Model Object (DMO) is updated, Data Actions can be used to immediately trigger updates in an external system like Salesforce CRM.
Data Actions allow for real-time or near-real-time updates to external systems.
When a record in the DMO is updated, a Data Action can push updates to CRM fields.
This ensures that CRM always reflects the latest Data Cloud updates without manual intervention.
Why Not A?
Data Share Targets are used for sharing data externally (e.g., Snowflake) but do not update CRM fields directly.
Why Not C?
Rapid Segments are used for fast audience segmentation, not for updating CRM fields.
Why Not D?
Streaming Data Transforms are used for real-time data processing, but they do not update CRM fields directly.
# Salesforce Data Cloud Reference:
Salesforce Help Documentation - Data Actions Overview
Trailhead Module: Automating Data Updates with Data Actions
Salesforce Knowledge Base - Best Practices for Keeping CRM and Data Cloud in Sync
質問 # 95
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
正解：B
解説：
Value suggestion for attributes in segmentation is a feature that allows you to see and select the possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to-many (1:N). References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
質問 # 96
......
購入した前にSalesforceのData-Con-101ソフトのような商品の適用性をあなたに感じさせるために、我々はSalesforceのData-Con-101ソフトのデモを提供して、あなたはGoShikenで無料でダウンロードして体験できます。何か疑問があれば、我々の係員を問い合わせたり、メールで我々を連絡したりすることができます。あなたは弊社を選ぶとき、SalesforceのData-Con-101試験に合格する最高の方法を選びます。
Data-Con-101認証試験: https://www.goshiken.com/Salesforce/Data-Con-101-mondaishu.html
無料でクラウドストレージから最新のGoShiken Data-Con-101 PDFダンプをダウンロードする：https://drive.google.com/open?id=1oMS9ruLHgJKh3l0TmhMgWQgHcD7sZDt9