P.S.JpexamがGoogle Driveで共有している無料の2026 Salesforce Data-Con-101ダンプ：https://drive.google.com/open?id=1pfjfU8fbcgiYXIkN486D409nUWXkKwEU
SalesforceのData-Con-101認定試験を除いて、最近非常に人気がある試験はまたSalesforce、Cisco、IBM、SAPなどの様々な認定試験があります。しかし、もしData-Con-101認証資格を取りたいなら、JpexamのData-Con-101問題集はあなたを願望を達成させることができます。試験の受験に自信を持たないので諦めることをしないでください。Jpexamの試験参考書を利用することを通して自分の目標を達成することができますから。Data-Con-101認証資格を入手してから、他のIT認定試験を受験することもできます。Jpexamの試験問題集を手にすると、どのような試験でも問題ではありません。
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当社Salesforceは、Data-Con-101試験問題を編集するために、この分野で多くの主要な専門家を採用しています。 当社のチームベースの作業システムは、次世代の最高のData-Con-101試験トレントがJpexam最終的に形を成し遂げる精神と手を携える人材を最大限に引き出すように設計されています。 当社は、優れたアフターサービスを提供し、ガイドの急流に革新をもたらした実績があります。 当社の専門家がお客様に世界クラスのData-Con-101のSalesforce Certified Data Cloud Consultantガイドトレントを作成できるため、お客様の成功が保証されます。 Data-Con-101試験に合格する必要があります。
質問 # 108
A consultant wants to build a new audience in Data Cloud.
Which three criteria can the consultant include when building a segment?
Choose 3 answers
正解：A、B、D
解説：
A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:
Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on their profile data.
Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as customer lifetime value, churn risk, loyalty tier, etc.
Related attributes: These are attributes that describe the relationships of an individual with other DMOs, such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms.
Streaming insights are insights that analyze streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. References: Create a Segment in Data Cloud, Use Insights in Data Cloud, Data Cloud Data Model
質問 # 109
A Data Cloud consultant tries to save a new 1-to-l relationship between the Account DMO and Contact Point Address DMO but gets an error.
What should the consultant do to fix this error?
正解：D
質問 # 110
A consultant is preparing to implement Data Cloud.
Which ethic should the consultant adhere to regarding customer data?
正解：A
解説：
When implementing Data Cloud, the consultant should adhere to ethical practices regarding customer data, particularly by carefully considering the collection and use of sensitive data such as age, gender, or ethnicity .
Here's why:
Understanding Ethical Considerations
Collecting and using customer data comes with significant ethical responsibilities, especially when dealing with sensitive information.
The consultant must ensure compliance with privacy regulations (e.g., GDPR, CCPA) and uphold ethical standards to protect customer trust.
Why Carefully Consider Sensitive Data?
Privacy and Trust :
Collecting sensitive data (e.g., age, gender, ethnicity) can raise privacy concerns and erode customer trust if not handled appropriately.
Customers are increasingly aware of their data rights and expect transparency and accountability.
Regulatory Compliance :
Regulations like GDPR and CCPA impose strict requirements on the collection, storage, and use of sensitive data.
Careful consideration ensures compliance and avoids potential legal issues.
Other Options Are Less Suitable :
A). Allow senior leaders in the firm to access customer data for audit purposes : While audits are important, unrestricted access to sensitive data is unethical and violates privacy principles.
B). Collect and use all of the data to create more personalized experiences : Collecting all data without regard for sensitivity is unethical and risks violating privacy regulations.
C). Map sensitive data to the same DMO for ease of deletion : While mapping data for deletion is a good practice, it does not address the ethical considerations of collecting sensitive data in the first place.
Steps to Ensure Ethical Practices
Step 1: Evaluate Necessity
Assess whether sensitive data is truly necessary for achieving business objectives.
Step 2: Obtain Explicit Consent
If sensitive data is required, obtain explicit consent from customers and provide clear explanations of how the data will be used.
Step 3: Minimize Data Collection
Limit the collection of sensitive data to only what is essential and anonymize or pseudonymize data where possible.
Step 4: Implement Security Measures
Use encryption, access controls, and other security measures to protect sensitive data.
Conclusion
The consultant should carefully consider asking for sensitive data such as age, gender, or ethnicity to uphold ethical standards, maintain customer trust, and ensure regulatory compliance.
質問 # 111
Which operator should a consultant use to create a segment for a birthday campaign that is evaluated daily?
正解：A
解説：
To create a segment for a birthday campaign that is evaluated daily, the consultant should use the Is Anniversary Of operator. This operator compares a date field with the current date and returns true if the month and day are the same, regardless of the year. For example, if the date field is 1990-01-01 and the current date is 2023-01-01, the operator returns true. This way, the consultant can create a segment that includes all the customers who have their birthday on the same day as the current date, and the segment will be updated daily with the new birthdays. The other options are not the best operators to use for this purpose because:
A). The Is Today operator compares a date field with the current date and returns true if the date is the same, including the year. For example, if the date field is 1990-01-01 and the current date is 2023-01-01, the operator returns false. This operator is not suitable for a birthday campaign, as it will only include the customers who were born on the same day and year as the current date, which is very unlikely.
B). The Is Birthday operator is not a valid operator in Data Cloud. There is no such operator available in the segment canvas or the calculated insight editor.
C). The Is Between operator compares a date field with a range of dates and returns true if the date is within the range, including the endpoints. For example, if the date field is 1990-01-01 and the range is 2022-12-25 to
2023-01-05, the operator returns true. This operator is not suitable for a birthday campaign, as it will only include the customers who have their birthday within a fixed range of dates, and the segment will not be updated daily with the new birthdays.
質問 # 112
Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?
正解：C
解説：
The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:
A). B2C Commerce Starter Bundles only ingest the last 90 days of data by default.
B). Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.
C). Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. References: Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs
質問 # 113
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当社はJpexam、世界中のData-Con-101試験トレントコンパイル部門の販売およびアフターサービスを提供する多国籍企業です。 さらに、当社はこの分野で一流の企業になりました。そのため、関連するData-Con-101認定を取得するために試験の準備をしている場合、当社がまとめたData-Con-101のSalesforce試験問題はあなたの堅実なものです。 選択。 当社の世界中のすべての従業員は、お客様がData-Con-101試験に合格するための電子的なData-Con-101試験トレントの最高のグローバルサプライヤになるという共通の使命の下でSalesforce Certified Data Cloud Consultant運営されています。
Data-Con-101模擬資料: https://www.jpexam.com/Data-Con-101_exam.html
ちなみに、Jpexam 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=1pfjfU8fbcgiYXIkN486D409nUWXkKwEU