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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Data Integration	- Integration patterns 1. API-based integration strategies 2. ETL vs real-time integration - Salesforce integration tools 1. Platform events and change data capture 2. MuleSoft and REST/SOAP APIs
Large Data Volume and Performance	- Scalability considerations 1. Bulk data processing strategies 2. Indexing and query optimization
Data Modeling and Database Design	- Salesforce data model design 1. Schema design for scalability 2. Standard and custom objects usage - Data modeling concepts 1. Relational vs. non-relational data design 2. Normalization and denormalization strategies
Master Data Management (MDM)	- MDM architecture 1. Data synchronization approaches 2. Golden record design
Data Governance and Management	- Data quality management 1. Data validation rules 2. Deduplication strategies - Security and compliance 1. Regulatory compliance considerations 2. Data access controls

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Salesforce Certified Data Architect Sample Questions (Q78-Q83):

NEW QUESTION # 78
North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly.
Which two native tools should a data architect recommend to achieve this reporting requirement?

A. Einstein Analytics
B. Standard reports and dashboards
C. Standard SOQL queries
D. Async SOQL with a custom object

Answer: A,D

Explanation:
Async SOQL with a custom object (option B) and Einstein Analytics (option D) are the two native tools that can be used to report on big object data. Async SOQL allows querying big object data and storing the results in a custom object, which can then be used for reporting. Einstein Analytics can connect to big object data sources and provide advanced analytics and visualization features. Standard reports and dashboards (option A) and standard SOQL queries (option C) cannot be used to report on big object data, as they do not support big object fields

NEW QUESTION # 79
Get Cloudy Consulting monitors 15,000 servers, and these servers automatically record their status every 10 minutes. Because of company policy, these status reports must be maintained for 5 years. Managers at Get Cloudy Consulting need access to up to one week's worth of these status reports with all of their details.
An Architect is recommending what data should be integrated into Salesforce and for how long it should be stored in Salesforce.
Which two limits should the Architect be aware of? (Choose two.)

A. Data storage limits
B. Webservice callout limits
C. Workflow rule limits
D. API Request limits

Answer: A,D

Explanation:
Data storage limits and API request limits are two important factors that affect the data integration and storage in Salesforce. Data storage limits determine how much data can be stored in Salesforce, and API request limits determine how many API calls can be made to Salesforce in a 24-hour period. Both of these limits depend on the edition and license type of the Salesforce org. Workflow rule limits and webservice callout limits are not directly related to data integration and storage, but rather to business logic and external services.

NEW QUESTION # 80
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. Add description fields to explain why the field is used, and mark the field as required.
C. Create and manage a data dictionary and ups a governance process for changes made to common objects.
D. Create reports to identify which users are leaving blank, and use external data sources o agreement the missing data.

Answer: C

NEW QUESTION # 81
Based on government regulations, a Salesforce customer plans to implement the following in Salesforce for compliance:
Access to customer information based on record ownership
Ability for customers to request removal of their information from Salesforce Prevent users from accessing Salesforce from outside company network (virtual private network, or VPN) What should a data architect recommend to address these requirements?

A. Implement IP restrictions, sharing settings, and custom Apex to support customer requests.
B. Contact Salesforce support to restrict access only with VPN and other requirements
C. Implement Salesforce shield with Event Monitoring to address the requirement.
D. Allow users access to Salesforce through a custom web application hosted within VPN.

Answer: A

Explanation:
IP restrictions can be used to prevent users from accessing Salesforce from outside the company network or VPN. According to this article, sharing settings can be used to control access to customer information based on record ownership. According to this article, custom Apex can be used to support customer requests for removal of their information from Salesforce.

NEW QUESTION # 82
Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?

A. Single-select restricted picklist with defined choices.
B. Provide help text to guide users with defined choices.
C. Create a validation rule to limit entry to defined choices.
D. Lookup to a custom object with defined choices.

Answer: A

Explanation:
single-select restricted picklist with defined choices can be a way to configure customer type. The article states that picklists are fields that allow users to select one or more predefined values from a list, and restricted picklists ensure that users can only select from the defined values. This can help to limit the choices for customer type and ensure data quality.

NEW QUESTION # 83
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