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| Section | Weight | Objectives |
|---|---|---|
| Data Integration | 15% | - API-based integration (REST, SOAP, Bulk API) - ETL tools and data migration strategies - Real-time vs batch integration patterns - Handling locks and parallelism during migration - Sharing rules impact on data integration |
| Data Governance | 20% | - Data retention and archiving policies - Data quality standards and metrics - Compliance and regulatory considerations - Data stewardship roles and responsibilities |
| Master Data Management | 20% | - Data duplication and matching rules - Data cleansing techniques - Identity resolution |
| Data Modeling | 25% | - Indexing strategies - Large Data Volumes (LDV) design considerations - Normalization and denormalization strategies - Skinny tables for performance optimization - Big Objects and external objects |
| Data Architecture | 20% | - Archiving and data lifecycle management - Governor limits and bulk processing - Performance tuning and optimization - Architecture patterns and design principles |
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NEW QUESTION # 100
Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE _TO_LOCK_ROW" error.
Which solution should a data architect recommend to resolve the error?
Answer: C
NEW QUESTION # 101
Universal Containers (UC) is in the process of selling half of its company. As part of this split, UC's main Salesforce org will be divided into two org:org A and org B, UC has delivered these requirements to its data architect
1. The data model for Org B will drastically change with different objects, fields, and picklist values.
2. Three million records will need to be migrated from org A to org B for compliance reasons.
3. The migrate will need occur within the next two month, prior to be split.
Which migrate strategy should a data architect use to successfully migrate the date?
Answer: B
Explanation:
Using an ETL tool to orchestrate the migration is the best strategy for this scenario, as it can handle the data model changes, the large volume of records, and the tight timeline. Writing a script to use the Bulk API (option C) is also possible, but it would require more coding and testing effort. Using Data Loader and Data Import Wizard (option B) is not suitable for migrating three million records, as they have limitations on the batch size and the number of records per operation. Using Salesforce CLI (option D) is also not recommended for large data migration, as it is mainly designed for development and testing purposes
NEW QUESTION # 102
Universal Containers (UC) has several custom Visualforce applications have been developed in which users are able to edit Opportunity records. UC struggles with data completeness on their Opportunity records and has decided to make certain fields required that have not been in the past. The newly required fields are dependent on the Stage of the Opportunity, such that certain fields are only required once an Opportunity advances to later stages. There are two fields. What is the simplest approach to handle this new requirement?
Answer: C
Explanation:
Using a validation rule for each field that takes the Stage into consideration is the simplest approach to handle this new requirement. A validation rule can enforce the field requirements based on the logic and criteria that you define, and display an error message when users try to save a record that does not meet the requirements. Updating the Opportunity page layout to mark these fields as required will not work because page layouts do not support conditional field requirements. Updating these Opportunity field definitions in Setup to be required will not work because it will apply to all stages and records. Writing an Apex trigger that checks each field when records are saved is not the simplest approach because it requires coding and testing
NEW QUESTION # 103
Get Cloudy Consulting uses an invoicing system that has specific requirements. One requirement is that attachments associated with the Invoice_c custom object be classified by Types (i.e., ""Purchase Order"", ""Receipt"", etc.) so that reporting can be performed on invoices showing the number of attachments grouped by Type.
What should an Architect do to categorize the attachments to fulfill these requirements?
Answer: D
Explanation:
Creating a custom object related to the Invoice object with a picklist field for the Type allows the architect to categorize the attachments and report on them by Type. The standard Attachment object does not have a ContentType picklist field, and adding a custom picklist field to it would not be best practice.
NEW QUESTION # 104
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
Data will be used to drive marketing and product development initiatives.
NTO estimates that the program will generate 100 million rows of date monthly.
NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?
Answer: A
NEW QUESTION # 105
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