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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling/Database Design | 25% | - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV) |
| Topic 2: Salesforce Data Management | 25% | - Describe the considerations for data governance - Describe the implications of LDV on data management - Describe the considerations for data archival - Describe the considerations for data migration |
| Topic 3: Data Governance | 10% | - Describe the elements of a data governance framework - Describe the considerations for data quality - Describe the considerations for data classification |
| Topic 4: Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration - Describe the considerations for data migration |
| Topic 5: Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
| Topic 6: 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) |
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NEW QUESTION # 183
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error. Which solution should a data architect recommend, to resolve the error?
Answer: C
Explanation:
The best solution to resolve the error of "Unable to lock a row" during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record. To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches. Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation
NEW QUESTION # 184
Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system. Which solution should a data architect recommend to remediate the duplication issue?
Answer: C
Explanation:
Implementing duplicate rules (option D) is the best solution to remediate the duplication issue, as it allows the data architect to identify and merge duplicate accounts in Salesforce using native features and tools.
NEW QUESTION # 185
Universal Containers (UC) has a Salesforce org with multiple automated processes defined for group membership processing, UC also has multiple admins on staff that perform manual adjustments to the role hierarchy. The automated tasks and manual tasks overlap daily, and UC is experiencing "lock errors" consistently. What should a data architect recommend to mitigate these errors?
Answer: B
Explanation:
Enabling granular locking (option A) is the best recommendation to mitigate these errors, as it allows finer control over how records are locked during automated or manual processes, and reduces the chances of lock contention or deadlock.
NEW QUESTION # 186
UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality. Which 2 solutions should a data architect recommend to monitor and measure data quality? Choose 2 answer
Answer: A,D
Explanation:
Reviewing data quality reports and dashboards and installing and running data quality analysis dashboard app are two solutions that can help monitor and measure data quality. Data quality reports and dashboards can provide insights into the completeness, accuracy, and consistency of the data. Data quality analysis dashboard app is a free app from AppExchange that can help analyze and improve data quality by identifying duplicate, incomplete, or inaccurate records.
NEW QUESTION # 187
Universal Containers has a custom object with millions of rows of data. When executing SOQL queries, which three options prevent a query from being selective? (Choose three.)
Answer: B,C,D
Explanation:
Using leading % wildcards, performing large loads and deletions, and using NOT and != operators are three options that prevent a query from being selective. These options can cause the query to scan a large number of records or indexes, which can negatively impact the performance and scalability of the query. Using a custom index on a deterministic formula field, on the other hand, can improve the query selectivity by allowing the query to use the index instead of scanning all the records6.
NEW QUESTION # 188
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