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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant |
| Exam Number: | Data-Con-101 |
| Exam Duration: | 105 minutes |
| Certificate Validity Period: | Maintenance required annually (Trailhead maintenance program) |
| Exam Price: | $200 USD |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Salesforce Certified Administrator Salesforce Platform App Builder Salesforce Marketing Cloud Engagement |
| Passing Score: | 68% |
| Available Languages: | English |
| Real Exam Qty: | 60-65 |
| Recommended Training: | Salesforce Partner Training Resources Salesforce Trailhead - Data Cloud Learning Paths |
| Exam Registration: | Salesforce Credentials Portal |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online proctored exam or test center delivery |
| Pre Condition: | No strict prerequisites; recommended to have Salesforce Administrator knowledge or equivalent experience. |
過去数年にわたって、何百人もの業界の専門家を集め、数え切れないほどの困難を克服し、最終的に完全な学習製品であるData-Con-101テスト回答を作成しました。カスタマーサービスは24時間ご利用いただけます。メールまたはオンラインでいつでもご連絡いただけます。さらに、Data-Con-101テストトレントを購入するためのすべての顧客情報は、厳重に機密保持されます。お客様のプライバシーを第三者に開示することも、営利目的で使用することもありません。次に、製品の詳細を紹介します。
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質問 # 54
Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.
Which two options should a consultant configure when ingesting this data stream?
Choose 2 answers
正解：A、D
解説：
When ingesting data from an Amazon S3 bucket, the consultant should configure the following options:
The refresh mode should be set to "Upsert", which means that new and updated records will be added or updated in Data Cloud, while existing records will be preserved. This ensures that the data is always up to date and consistent with the source.
The filename should contain a wildcard to accommodate the timestamp, which means that the file name pattern should include a variable part that matches the timestamp format. For example, if the file name is store_transactions_2023-12-18.csv, the wildcard could be store_transactions_*.csv. This ensures that the ingestion process can identify and process the correct file every day.
The other options are not necessary or relevant for this scenario:
Deletion of old files is a feature of the Amazon S3 bucket, not the Data Cloud ingestion process. Data Cloud does not delete any files from the source, nor does it require the source files to be deleted after ingestion.
Full Refresh is a refresh mode that deletes all existing records in Data Cloud and replaces them with the records from the source file. This is not suitable for this scenario, as it would result in data loss and inconsistency, especially if the source file only contains the summary of the last 24 hours of transactions. References: Ingest Data from Amazon S3, Refresh Modes
質問 # 55
How does Data Cloud ensure high availability and fault tolerance for customer data?
正解：D
解説：
Ensuring High Availability and Fault Tolerance:
High availability refers to systems that are continuously operational and accessible, while fault tolerance is the ability to continue functioning in the event of a failure.
Reference: Salesforce High Availability and Fault Tolerance Whitepaper
Data Distribution Across Multiple Regions and Data Centers:
Salesforce Data Cloud ensures high availability by replicating data across multiple geographic regions and data centers. This distribution mitigates risks associated with localized failures.
If one data center goes down, data and services can continue to be served from another location, ensuring uninterrupted service.
Reference: Salesforce Infrastructure Overview
Benefits of Regional Data Distribution:
Redundancy: Having multiple copies of data across regions provides redundancy, which is critical for disaster recovery.
Load Balancing: Traffic can be distributed across data centers to optimize performance and reduce latency.
Regulatory Compliance: Storing data in different regions helps meet local data residency requirements.
Reference: Salesforce Data Center Locations and Regional Data Hosting
Implementation in Salesforce Data Cloud:
Salesforce utilizes a robust architecture involving data replication and failover mechanisms to maintain data integrity and availability.
This architecture ensures that even in the event of a regional outage, customer data remains secure and accessible.
Reference: Salesforce Trust and Compliance Documentation
質問 # 56
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 # 57
How does Data Cloud ensure data privacy and security?
正解：D
解説：
Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Reference: Salesforce Data Privacy and Security Overview
Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Reference: Salesforce Encryption Documentation
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
Reference: Salesforce Consent Management Guide
Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
Reference: Salesforce Shield Encryption and Consent Management Implementation Guide Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.
Reference: Salesforce Data Privacy Case Studies
質問 # 58
A retail customer wants to bring customer data from different sources
and wants to take advantage of identity resolution so that it can be
used in segmentation.
On which entity should this be segmented for activation membership?
正解：B
解説：
The correct answer is B, Unified Individual. A Unified Individual is a record that represents a customer across different data sources, created by applying identity resolution rulesets. Identity resolution rulesets are sets of match and reconciliation rules that define how to link and merge data from different sources based on common attributes. Data Cloud uses identity resolution rulesets to resolve data across multiple data sources and helps you create one record for each customer, regardless of where the data came from1. A retail customer who wants to bring customer data from different sources and use identity resolution for segmentation should segment on the Unified Individual entity, which contains the resolved and consolidated customer data. The other options are incorrect because they do not represent the resolved customer data across different sources. A Subscriber is a record that represents a customer who has opted in to receive marketing communications. A Unified Contact is a record that represents a customer who has a relationship with a specific business unit. An Individual is a record that represents a customer's profile data from a single data source. References:
Identity Resolution Ruleset Processing Results
Consider Data Implications for Segmentation
Prepare for your Salesforce Data Cloud Consultant Credential
AI-based Identity Resolution: Linking Diverse Customer Data
質問 # 59
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Data-Con-101資格関連題: https://www.jpntest.com/shiken/Data-Con-101-mondaishu
2026年JPNTestの最新Data-Con-101 PDFダンプおよびData-Con-101試験エンジンの無料共有：https://drive.google.com/open?id=1ykChOG0hwL7feawL2fKaFvSwVcvnjk73