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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Large Data Volumes | 20% | - Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV - Describe the implications of LDV on data modeling |
| Topic 2: Salesforce Data Management | 25% | - Describe the implications of LDV on data management - Describe the considerations for data migration - Describe the considerations for data archival - Describe the considerations for data governance |
| Topic 3: 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 4: Data Modeling/Database Design | 25% | - Describe the options and considerations for Large Data Volumes (LDV) - Explain the usage of external objects - Describe the considerations when designing a data model for Salesforce - Describe the implications of LDV on data modeling |
| 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 |
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NEW QUESTION # 112
US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution.
Which solution should a data architect use to comply with the DR policy?
Answer: A
Explanation:
The best solution to comply with the DR policy is to leverage a 3rd party tool that extract Salesforce data/metadata and stores the information in an external protected system. This solution can help create a backup of Salesforce data and metadata in case of a disaster or data loss event. It can also help restore data from the backup system to Salesforce if needed. There are various 3rd party tools available in the AppExchange or online that offer data backup and recovery services for Salesforce. Leverage Salesforce weekly exports and store data in flat files on a protected system is not a good solution because it does not include metadata backup and it does not allow granular or automated data recovery. Utilize an ETL tool to migrate data to an on- premise archive solution is not a good solution because it does not include metadata backup and it may require complex data transformations and synchronizations. Write a custom batch job to extract data changes nightly and store in an external protected system is not a good solution because it does not include metadata backup and it may have performance or reliability issues.
NEW QUESTION # 113
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 # 114
What should a data architect do to provide additional guidance for users when they enter information in a standard field?
Answer: A
Explanation:
The correct answer is A. To provide additional guidance for users when they enter information in a standard field, a data architect should provide custom help text under field properties. This will display a help icon next to the field label that users can hover over to see the help text.
NEW QUESTION # 115
(NTO) has multiple salesforce orgs based on geographical reports (AMER, EMEA, APAC). NTO products are in the AMER org and need to be created in the EMEA and APAC after the products are approved. Which two features should a data architect recommend to share records between salesforce orgs? Choose 2
Answer: A,D
Explanation:
The two features that a data architect should recommend to share records between Salesforce orgs are:
Change Data Capture (CDC): This is a feature that publishes change events for changes in Salesforce records, such as create, update, delete, and undelete operations. Change events can be subscribed by external systems or other Salesforce orgs using various tools, such as Platform Events, Streaming API, or CometD. CDC can help keep data in sync between Salesforce orgs in near real time.
Salesforce to Salesforce (S2S): This is a feature that allows sharing records and related data with other Salesforce orgs that you partner with. You can choose which records and fields to share, and which orgs to share with. You can also accept updates from the other orgs to keep the data consistent.
Salesforce Connect is not a good feature to share records between Salesforce orgs because it is intended for integrating external data sources with Salesforce using external objects. Federation Search is not a good feature to share records between Salesforce orgs because it is intended for searching across multiple Salesforce orgs without sharing data.
NEW QUESTION # 116
A custom pricing engine for a Salesforce customer has to be decided by factors with the following hierarchy:
- State in which the customer is located
- City in which the customer is located if available
- Zip code in which the customer is located if available
- Changes to this information should have minimum code changes
What should a data architect recommend to maintain this information for the custom pricing engine that is to be built in Salesforce?
Answer: C
Explanation:
According to the Get Started with Custom Metadata Types unit on Trailhead, one of the use cases for custom metadata types is to define custom charges for an accounting app. The unit states that "Say that your org uses a standard accounting app. You can create a custom metadata type that defines custom charges, like duties and VAT rates. Then you can write some Apex code that calculates the total amount due for each invoice by using the metadata from your custom metadata type." Therefore, a similar approach can be used to maintain the pricing criteria for a custom pricing engine in Salesforce.
NEW QUESTION # 117
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