Valid Data-Architecture-And-Management-Designer Dumps shared by ExamDiscuss.com for Helping Passing Data-Architecture-And-Management-Designer Exam! ExamDiscuss.com now offer the newest Data-Architecture-And-Management-Designer exam dumps, the ExamDiscuss.com Data-Architecture-And-Management-Designer exam questions have been updated and answers have been corrected get the newest ExamDiscuss.com Data-Architecture-And-Management-Designer dumps with Test Engine here:
Access Data-Architecture-And-Management-Designer Dumps Premium Version
(224 Q&As Dumps, 35%OFF Special Discount Code: freecram)
Enter your email address to download Salesforce.Data-Architecture-And-Management-Designer.v2020-09-03.q75.pdf
Recent Comments (The most recent comments are at the top.)
To address the issues of incomplete, incorrect, and duplicate data entries in Salesforce, the data architect should recommend a comprehensive approach that includes both preventative measures and ongoing monitoring. The most appropriate steps would be:
B. Explore third-party data providers to enrich and augment information entered in Salesforce.
C. Leverage Salesforce features, such as validation rules, to avoid incomplete and incorrect records.
E. Design and implement data-quality dashboards to monitor and act on records that are incomplete or incorrect.
Explanation:
B. Explore third-party data providers to enrich and augment information entered in Salesforce:
Integrating third-party data providers can help ensure that the data in Salesforce is comprehensive and up-to-date. This can enhance the quality of the information entered and reduce the likelihood of incomplete or incorrect records.
C. Leverage Salesforce features, such as validation rules, to avoid incomplete and incorrect records:
Implementing validation rules, required fields, and workflow rules within Salesforce can help prevent users from entering incomplete or incorrect data. This ensures that the data captured meets the required standards and formats.
E. Design and implement data-quality dashboards to monitor and act on records that are incomplete or incorrect:
Data-quality dashboards can provide real-time insights into the state of data within Salesforce. These dashboards help identify and address data quality issues promptly, allowing for continuous monitoring and improvement of data quality.
Why not the other options?
A. Build a sales data warehouse with purpose-built data marts for dashboards and senior management reporting:
While building a data warehouse could be beneficial for reporting, it does not directly address the root causes of data quality issues within Salesforce. Ensuring data quality at the source is more effective for real-time decision-making.
D. Periodically export data to...
C. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records. This will help ensure that the data entered in Salesforce meets the required standards and formats, and prevent errors and omissions.
E. Design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect. This will help identify and fix the data quality issues in Salesforce, and improve the accuracy and reliability of the executive reports and dashboards.
B. Explore third-party data providers to enrich and augment information entered in Salesforce. This will help enhance the data in Salesforce with additional sources and attributes, and provide more insights and value for the senior management.
David Jurado is right! B,C,E
ANS: B,C,E
A.- Has no sense. Data marts dashboards does almost nothing to help solving the problem. Build a data warehouse for this purpose is overwhelming.
E.- Once the reports gives you insights about incorrections, you can act on them to address the problem.
it should be B,C,D