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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Salesforce Data Management | 25% | - Describe the considerations for data archival - Describe the implications of LDV on data management - Describe the considerations for data migration - Describe the considerations for data governance |
| Topic 2: Data Migration | 15% | - Describe the considerations for data migration - Describe the tools and best practices for data migration - Describe the implications of data migration on data quality |
| Topic 3: Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) |
| Topic 4: Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects - Describe the options and considerations for Large Data Volumes (LDV) |
| Topic 5: Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Topic 6: Data Governance | 10% | - Describe the considerations for data classification - Describe the considerations for data quality - Describe the elements of a data governance framework |
>> Plat-Arch-201 Practice Questions <<
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NEW QUESTION # 215
Universal Containers (UC) owns a complex Salesforce org with many Apex classes, triggers, and automated processes that will modify records if available. UC has identified that, in its current development state, UC runs change of encountering race condition on the same record. What should a data architect recommend to guarantee that records are not being updated at the same time?
Answer: A
Explanation:
According to the How to avoid row lock or race condition in Apex blog post, one of the ways to prevent race condition in Apex is to use the FOR UPDATE keyword in SOQL statements. The blog post states that "We need to lock the records on which we are working such that other batches or threads will not be having any effect on them. How can we lock a record, then? We need to make use of FOR UPDATE keyword in the SOQL query." Therefore, a data architect should recommend this solution to guarantee that records are not being updated at the same time by different processes.
NEW QUESTION # 216
Get Cloudy Consulting monitors 15,000 servers, and these servers automatically record their status every 10 minutes. Because of company policy, these status reports must be maintained for
5 years. Managers at Get Cloudy Consulting need access to up to one week's worth of these status reports with all of their details. An Architect is recommending what data should be integrated into Salesforce and for how long it should be stored in Salesforce. Which two limits should the Architect be aware of? (Choose two.)
Answer: A,C
Explanation:
Data storage limits and API request limits are two important factors that affect the data integration and storage in Salesforce. Data storage limits determine how much data can be stored in Salesforce, and API request limits determine how many API calls can be made to Salesforce in a
24-hour period. Both of these limits depend on the edition and license type of the Salesforce org.
Workflow rule limits and webservice callout limits are not directly related to data integration and storage, but rather to business logic and external services.
NEW QUESTION # 217
NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over past
5 years. Internal users are complaining abt multiple data issues, including incomplete and duplicate data in the org. NTO has decided to engage a data architect to analyze and define data quality standards. Which 3 key factors should a data architect consider while defining data quality standards? Choose 3 Answer
Answer: A,C,D
Explanation:
Defining data duplication standards and rules, measuring data timeliness and consistency, and measuring data completeness and accuracy are three key factors that a data architect should consider while defining data quality standards. Defining data duplication standards and rules can help prevent or reduce duplicate records in the org by specifying criteria and actions for identifying and merging duplicates. Measuring data timeliness and consistency can help ensure that the data is up-to-date, reliable, and synchronized across different sources. Measuring data completeness and accuracy can help ensure that the data is sufficient, relevant, and correct for the intended purposes.
NEW QUESTION # 218
How can an architect find information about who is creating, changing, or deleting certain fields within the past two months?
Answer: A
Explanation:
The setup audit trail tracks changes made in your org's setup area for the past 180 days. You can export the setup audit trail and find the fields in question by filtering by action type, user, or date.
NEW QUESTION # 219
Universal Containers has 30 million case records. The Case object has 80 fields. Agents are reporting reports in the Salesforce org. Which solution should a data architect recommend to improve reporting performance?
Answer: C
NEW QUESTION # 220
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