P.S. VCESoft在Google Drive上分享了免費的、最新的Data-Cloud-Consultant考試題庫：https://drive.google.com/open?id=1Q385EkCIzxh_0eFVkVzvvYgy184Zp3zt
VCESoft 應一些考友的需要，在第一時間內及時更新了 Data-Cloud-Consultant 這門題目，更新之後的 Data-Cloud-Consultant 擬真試題覆蓋率100%。考生可在反復練習這份真題的基礎上，多思考，多總結，通過 Data-Cloud-Consultant 考試就沒有問題了。建議的是，一定要瞭解這門考試的最新動態資訊，這樣才能在考試中做到隨機應變。而我們就是一個可以滿足很多參加Salesforce Data-Cloud-Consultant 認證考試的IT人士的需求的網站。
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data 360 Consultant |
| Exam Number: | Data-Con-101 |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Exam Price: | $200 USD |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Salesforce Certified Administrator Salesforce Certified Data Architect |
| Passing Score: | 63% |
| Available Languages: | English |
| Exam Format: | Multiple Select, Multiple Choice |
| Sample Questions: | Salesforce Data-Cloud-Consultant Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | Recommended: Salesforce Administrator certification and hands-on experience with Data Cloud implementation |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/data360consultant |
>> Data-Cloud-Consultant認證考試解析 <<
每個需要通過Data-Cloud-Consultant考試認證的考生都知道，這次的認證關係著他們人生的重大轉變，我們VCESoft提供的考試認證培訓資料是用超低的價格和高品質的擬真試題和答案來奉獻給廣大考生，我們的產品還具備成本效益，並提供了一年的免費更新期，我們認證培訓資料都是現成的。我們網站是答案轉儲的領先供應商，我們有你們需要的最新最準確的考試認證培訓資料，也就是答案和考題。
| 主題 | 簡介 |
|---|---|
| 主題 1 |
|
| 主題 2 |
|
| 主題 3 |
|
| 主題 4 |
|
| 主題 5 |
|
問題 #43
A consultant is preparing to implement Data Cloud.
Which ethic should the consultant adhere to regarding customer data?
答案：B
解題說明：
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.
問題 #44
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?
答案：A
解題說明：
Explanation
Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count. References: Data Cloud Activation, Contact Point for Marketing Cloud
問題 #45
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San Jose'?
答案：A
解題說明：
The result of a segmentation criteria filtering on City | Is Equal To | 'San Jose' is cities only containing 'San Jose' or 'san jose'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jose', you would need to use the OR operator and add multiple filter values, such as 'San Jose' OR 'San Jose' OR 'san jose' OR 'san jose'2. References: Segmentation Criteria, Segmentation Operators
問題 #46
Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers
答案：B,D
解題說明：
A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location. The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud. The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes.
The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.
Create a Calculated Insight, Use Insights in Data Cloud, Segmentation
問題 #47
A user has built a segment in Data 360 and is in the process of creating an activation. When selecting related attributes, they cannot find a specific set of attributes they know to be related to the individual. Which statement explains why these attributes are not available?
答案：A
解題說明：
Activation attributes are exposed according to valid relationship paths from the activation context. Salesforce states that a related attribute can be selected only when a path exists from the activated object and the relationships along that path meet the supported cardinality requirements. Current Data 360 limits also constrain related attributes to a limited number of DMOs within a supported path. Consequently, attributes that sit on a different or otherwise unsupported relationship path can be absent from the selectable related- attribute set, making A the intended answer. Attribute reuse in another activation does not make the field unavailable. Activations are not limited to only 1-to-1 attributes; supported N:1 relationships can also be used.
Whether the segment is based on profile data does not by itself explain why a known related field is missing.
問題 #48
......
Data-Cloud-Consultant測試: https://www.vcesoft.com/Data-Cloud-Consultant-pdf.html
順便提一下，可以從雲存儲中下載VCESoft Data-Cloud-Consultant考試題庫的完整版：https://drive.google.com/open?id=1Q385EkCIzxh_0eFVkVzvvYgy184Zp3zt