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| Section | Weight | Objectives |
|---|
| Topic 1: Data Architecture | 20% | - Architecture patterns and design principles - Governor limits and bulk processing - Performance tuning and optimization - Archiving and data lifecycle management
|
| Topic 2: Data Modeling | 25% | - Big Objects and external objects - Normalization and denormalization strategies - Indexing strategies - Skinny tables for performance optimization - Large Data Volumes (LDV) design considerations
|
| Topic 3: Data Governance | 20% | - Data retention and archiving policies - Compliance and regulatory considerations - Data stewardship roles and responsibilities - Data quality standards and metrics
|
| Topic 4: Master Data Management | 20% | - Identity resolution - Data duplication and matching rules - Data cleansing techniques
|
| Topic 5: Data Integration | 15% | - Handling locks and parallelism during migration - Sharing rules impact on data integration - API-based integration (REST, SOAP, Bulk API) - ETL tools and data migration strategies - Real-time vs batch integration patterns
|
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Salesforce Certified Data Architect Sample Questions (Q223-Q228):
NEW QUESTION # 223
Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce.
Which solution should a data architect recommend as an archiving solution?
- A. Build a batch job to move all restore off platform, and delete old records from Salesforce.
- B. Build a batch join to move two-year-old records off platform, and delete records from Salesforce.
- C. Build a batch join move all records off platform, and delete all records from Salesforce.
- D. Use a third-party backup solution to backup all data off platform.
Answer: B
Explanation:
The data architect should recommend building a batch job to move two-year-old records off platform, and delete records from Salesforce as an archiving solution. A batch job is a process that runs in the background and performs operations on large volumes of data in Salesforce. By building a batch job that moves two-year-old records off platform to an external storage system, such as Amazon S3 or Google Cloud Storage, and deletes them from Salesforce, the data architect can reduce the storage consumption and improve the performance of Salesforce org. Option A is incorrect because using a third-party backup solution to backup all data off platform will not free up any storage space in Salesforce, unless the data is also deleted from Salesforce after backup. Option B is incorrect because building a batch job to move all records off platform, and delete all records from Salesforce will result in losing all the current data in Salesforce, which may not be desirable or feasible. Option D is incorrect because building a batch job to move all restore off platform, and delete old records from Salesforce does not make sense, as restore implies restoring data back to Salesforce, not moving it off platform.
NEW QUESTION # 224
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?
- A. Extract the data using data loader and use excel to merge the duplicate records
- B. Implement duplicate rules
- C. Develop an ETL process that utilizers the merge API to merge the duplicate records
- D. Utilize a data warehouse as the system of truth
Answer: B
NEW QUESTION # 225
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?
- A. Build Apex Triggers in Salesforce that ensure products have the correct names and labels after data is loaded into salesforce.
- B. Add custom fields to the Product standard object in Salesforce to store data from the different source systems.
- C. Change integration to let product master systems update product data directly in Salesforce via the Salesforce API.
- D. Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse.
Answer: D
NEW QUESTION # 226
Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.com?
- A. Use workflow to calculate summary values instead of Roll -Up.
- B. Load all data after deferring sharing calculations.
- C. Use triggers to calculate summary values instead of Roll -Up.
- D. Load all data using external IDs to link to parent records.
Answer: B
NEW QUESTION # 227
All accounts and opportunities are created in Salesforce. Salesforce is integrated with three systems:
* An ERP system feeds order data into Salesforce and updates both Account and Opportunity records.
* An accounting system feeds invoice data into Salesforce and updates both Account and Opportunity records.
* A commission system feeds commission data into Salesforce and updates both Account and Opportunity records.
How should the architect determine which of these systems is the system of record?
- A. Account and opportunity data originates in Salesforce, and therefore Salesforce is the system of record.
- B. Whatever integration data flow runs last will, by default, determine which system is the system of record.
- C. Whatever system updates the attribute or object should be the system of record for that field or object.
- D. Data flows should be reviewed with the business users to determine the system of record per object or field.
Answer: D
NEW QUESTION # 228
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