Data-Architect Training Online: Salesforce Certified Data Architect & Salesforce Certified Data Architect Dumps Torrent

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| Section | Weight | Objectives |
|---|
| Topic 1: Salesforce Data Management | 25% | - Sharing and visibility design
- 1. Data access and security model
- 2. Sharing rules, manual sharing, Apex sharing
- 3. Organization-wide defaults, role hierarchy
- Data import and export strategies
- 1. Migration planning and execution
- 2. Data validation and cleansing
- 3. Tools: Data Loader, Import Wizard, Bulk API
|
| Topic 2: Large Data Volume Considerations | 20% | - Storage and optimization
- 1. Storage limits and management
- 2. Archiving and off-platform storage
- 3. Performance tuning techniques
- Performance and scalability
- 1. Handling millions of records
- 2. Governor limits and bulk processing
- 3. Avoiding and resolving data skew
|
| Topic 3: Data Governance and Compliance | 20% | - Data governance framework
- 1. Compliance and regulatory requirements
- 2. Data stewardship and ownership
- 3. Data quality standards
- Data lifecycle management
- 1. Data classification and handling
- 2. Data retention and archiving policies
- 3. Data privacy and security
|
| Topic 4: Data Modeling and Database Design | 25% | - Indexing and data structure
- 1. Standard and custom indexes
- 2. Skinny tables and big objects
- 3. Query optimization strategies
- Design scalable data models
- 1. Object relationships and cardinality
- 2. Data model optimization for performance
- 3. Custom and standard object design
|
| Topic 5: Data Integration and Master Data Management | 10% | - Master data management
- 1. Single source of truth design
- 2. MDM strategy and implementation
- 3. Data synchronization and consistency
- Integration patterns and tools
- 1. External data sources and objects
- 2. REST, SOAP, and Bulk API usage
- 3. Real-time vs batch integration
|
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Salesforce Certified Data Architect Sample Questions (Q110-Q115):
NEW QUESTION # 110
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
2500000 accounts
25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?
- A. Load only the data that the users is permitted to access
- B. Limit data loading to the 2000 most recently created records.
- C. Add custom indexes on frequently searched account and contact objects fields
- D. Create a skinny table to represent account and contact objects.
Answer: C
NEW QUESTION # 111
An Architect needs information about who is creating, changing, or deleting certain fields within the past four months.
How can the Architect access this information?
- A. After exporting the metadata, search it for the fields in question.
- B. Remove "customize application" permissions from everyone else.
- C. After exporting the setup audit trail, find the fields in question.
- D. Create a field history report for the fields in question.
Answer: C
NEW QUESTION # 112
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating
15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules.
Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)
- A. Contact Salesforce to activate indexing before uploading the data.
- B. First, load all account records, and then load all user records.
- C. Create the users, upload all data, and then deploy the sharing rules.
- D. Defer sharing calculations until the data has finished uploading.
Answer: C,D
Explanation:
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce
NEW QUESTION # 113
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 23 answers:
- A. Ensure the data is CRM center and able to populate standard of custom objects.
- B. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
- C. A selection of the tool required to replicate the data.
- D. Consider whether the data is required for sales reports, dashboards and KPI's.
- E. Determine if the data is driver of key process implemented within salesforce.
Answer: B,C,E
Explanation:
a. - Heroku Connect is required but this is confusing
NEW QUESTION # 114
Cloud Kicks stores Invoice records in a custom object. Invoice records are being sent to the Accounting department with missing States and incorrectly formatted Postal Codes.
Which two actions should Cloud Kicks take to improve data quality? (Choose two.)
- A. Change each address field to require on the Page Layout.
- B. Utilize a Validation Rule with a CONTAINS operator on address fields.
- C. Utilize a Validation Rule with a REGEX operator on Postal Code.
- D. Write an Apex Trigger to require all fields to be populated.
Answer: B,C
Explanation:
Utilizing a Validation Rule with a REGEX operator on Postal Code and utilizing a Validation Rule with a CONTAINS operator on address fields are two actions that Cloud Kicks should take to improve data quality for their Invoice records. A Validation Rule with a REGEX operator can check if the Postal Code field matches a specific pattern or format, such as a five-digit number or a combination of letters and numbers. A Validation Rule with a CONTAINS operator can check if the address fields contain certain values, such as valid state abbreviations or country names. These Validation Rules can prevent users from saving invalid or incomplete data and display error messages to guide them to correct the data. The other options are not effective or recommended for improving data quality, as they would either require additional customization, not enforce data standards, or not address the specific issues of missing states and incorrectly formatted postal codes
NEW QUESTION # 115
......
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