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| Section | Objectives |
|---|---|
| Topic 1: Data Management | - Data quality management - Master data management (MDM) concepts - Data governance principles |
| Topic 2: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Reporting and analytics considerations - Standard and custom objects |
| Topic 3: Data Integration | - Integration patterns in Salesforce - ETL vs ELT strategies - API-based integration approaches |
| Topic 4: Data Architecture and Design | - Data modeling best practices in Salesforce - Conceptual and logical data modeling - Handling large data volume and scalability considerations |
| Topic 5: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
1. Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to
24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?
A) Create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years.
B) Create a custom object to track shipment requests with five lookup custom fields for each item being shipped Implement an archiving process that moves data off-platform after three years.
C) Create an external custom object to track shipment requests and a child external object to track shipment items. External objects are stored off-platform in Heroku's Postgres database.
D) Create an external custom object to track shipment requests with five lookup custom fields for each item being shipped. External objects are stored off-platform in Heroku's Postgres database.
2. 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?
A) use as ETL tool to orchestrate the migration.
B) Use Data Loader for export and Data Import Wizard for import
C) Use the Salesforces CLI to query, export, and import
D) Write a script to use the Bulk API
3. UC is building a salesforce application to track contacts and their respective conferences that they have attended with the following requirements:
1. Contacts will be stored in the standard contact object.
2. Conferences will be stored in a custom conference_ c object.
3. Each contact may attend multiple conferences and each conference may be related to multiple contacts.
How should a data architect model the relationship between the contact and conference objects?
A) Create a master detail relationship field on the Conference object.
B) Create a master detail relationship field on the Contact object.
C) Create a lookup relationship field on contact object.
D) Implement a Contact Conference junction object with master detail relationship to both contact and conference_c
4. NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and 100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error. Which 3 options should help improve the dashboard performance? Choose 3 answer
A) Run the dashboard for CEO and send it via email.
B) De-normalize the data by reducing the number of joins.
C) Use selective queries to reduce the amount of data being returned.
D) Remove widgets from the dashboard to reduce the number of graphics loaded.
E) Reduce the amount of data queried by archiving unused opportunity records.
5. Northern trail Outfitters (NTO) uses Sales Cloud and service Cloud to manage sales and support processes. Some of NTOs team are complaining they see new fields on their page unsure of which values need be input. NTO is concerned about lack of governance in making changes to Salesforce. Which governance measure should a data architect recommend to solve this issue?
A) Create validation rules with error messages to explain why the fields is used
B) Create and manage a data dictionary and ups a governance process for changes made to common objects.
C) Add description fields to explain why the field is used, and mark the field as required.
D) Create reports to identify which users are leaving blank, and use external data sources o agreement the missing data.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B,C,E | Question # 5 Answer: B |
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