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| Section | Objectives |
|---|---|
| Topic 1: Data Integration | - Integration patterns
|
| Topic 2: Data Governance and Management | - Security and compliance
|
| Topic 3: Large Data Volume and Performance | - Scalability considerations
|
| Topic 4: Master Data Management (MDM) | - MDM architecture
|
| Topic 5: Data Modeling and Database Design | - Salesforce data model design
|
>> Data-Architect최신 덤프데모 다운 <<
Pass4Test에서 출시한 Salesforce인증Data-Architect 덤프는 시험문제점유율이 가장 높은 시험대비자료입니다. 실제Salesforce인증Data-Architect시험문제유형과 같은 형식으로 제작된Salesforce인증Data-Architect 시험공부자료로서Pass4Test덤프의 실용가치를 자랑하고 있습니다.덤프를 공부하여 시험불합격하시면 덤프비용은 환불처리해드립니다.
질문 # 30
Universal Container (US) is replacing a home grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis.
Which solution should a data architect recommend to meet business requirement?
정답:D
질문 # 31
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision-making. On analysis, the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?
정답:A,C,E
설명:
According to the Salesforce documentation3, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To address the issues with data quality that affect the reliability of executive dashboards, a data architect should recommend:
Building a sales data warehouse with purpose-built data marts for dashboards and senior management reporting (option B). This means creating a separate database or system that stores and organizes sales data from Salesforce and other sources for analytical purposes. A data warehouse can provide a single source of truth for sales data and enable faster and more accurate reporting and analysis. A data mart is a subset of a data warehouse that focuses on a specific subject or business area, such as sales performance, customer segmentation, product profitability, etc. A data mart can provide tailored and relevant data for different users or groups based on their needs and interests.
Exploring third-party data providers to enrich and augment information entered in Salesforce (option C).
This means using external services or tools that can validate, correct, update, and enhance the data that is entered or imported into Salesforce. This can help improve data quality and accuracy, and reduce data duplication and incompleteness.
Leveraging Salesforce features, such as validation rules, to avoid incomplete and incorrect records (option D). This means using features that allow defining rules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.
Periodically exporting data to cleanse data and import them back into Salesforce for executive reports (option A) is not a good solution, as it can be time-consuming, error-prone, and inefficient. It may also cause data inconsistency and synchronization issues between Salesforce and other systems. Designing and implementing data-quality dashboard to monitor and act on records that are incomplete or incorrect (option E) is also not a good solution, as it can be complex, costly, and difficult to maintain. It may also not address the root causes of data quality issues or prevent them from occurring in the first place.
질문 # 32
Universal Containers (UC) has implemented Sales Cloud and it has been noticed that Sales reps are not entering enough data to run insightful reports and dashboards. UC executives would like to monitor and measure data quality metrics. What solution addresses this requirement?
정답:D
설명:
Using third-party AppExchange tools to monitor and measure data quality can address the requirement of UC executives by providing features such as data cleansing, deduplication, validation, enrichment, and scoring.
These tools can help improve the accuracy, completeness, and consistency of the data entered by sales reps .
질문 # 33
A health care provider wishes to use salesforce to track patient care. The following actions are in Salesforce
1. Payment Providers: Orgas who pay for the care 2 patients.
2. Doctors: They provide care plan for patients and need to support multiple patients, they are provided access to patient information.
3. Patients: They are individuals who need care.
A data architect needs to map the actor to Sf objects. What should be the optimal selection by the data architect?
정답:A
질문 # 34
Universal Containers (UC) is implementing a formal, cross -business -unit data governance program As part of the program, UC will implement a team to make decisions on enterprise -wide data governance. Which two roles are appropriate as members of this team? Choose 2 answers
정답:C,D
설명:
Analytics/BI Owners and Data Domain Stewards are appropriate roles as members of a team that makes decisions on enterprise-wide data governance. Analytics/BI Owners are responsible for defining the business requirements and metrics for data analysis and reporting, and Data Domain Stewards are responsible for defining and enforcing the data quality standards and rules for specific data domains. Salesforce Administrators and Operational Data Users are not suitable roles for this team, as they are more focused on the operational aspects of data management, such as configuration, maintenance, and usage.
질문 # 35
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