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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Master Data Management (MDM)	- MDM architecture 1. Data synchronization approaches 2. Golden record design
Topic 2: Data Integration	- Integration patterns 1. API-based integration strategies 2. ETL vs real-time integration - Salesforce integration tools 1. MuleSoft and REST/SOAP APIs 2. Platform events and change data capture
Topic 3: Data Modeling and Database Design	- Data modeling concepts 1. Normalization and denormalization strategies 2. Relational vs. non-relational data design - Salesforce data model design 1. Standard and custom objects usage 2. Schema design for scalability
Topic 4: Data Governance and Management	- Data quality management 1. Data validation rules 2. Deduplication strategies - Security and compliance 1. Data access controls 2. Regulatory compliance considerations
Topic 5: Large Data Volume and Performance	- Scalability considerations 1. Indexing and query optimization 2. Bulk data processing strategies

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Salesforce Certified Data Architect Sample Questions (Q239-Q244):

NEW QUESTION # 239
NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation?
Choose 3 answers:

A. Develop an object relationship strategy.
B. Configure a middleware tool to poll external table data
C. Identify the external tables to sync into external objects
D. Create a 2nd system Admin user for authentication to the external source.
E. Assess whether the external data source is reachable via an ODATA endpoint.

Answer: A,C,E

Explanation:
The three considerations needed prior to a SF Connect implementation are to develop an object relationship strategy, identify the external tables to sync into external objects, and assess whether the external data source is reachable via an ODATA endpoint. SF Connect is a feature that allows integrating external data sources with Salesforce using external objects. External objects are similar to custom objects, but they store metadata only and not data. They enable on-demand access to external data via standard Salesforce APIs and user interfaces. To implement SF Connect, a data architect needs to consider how the external objects will relate to other objects in Salesforce, which external tables will be exposed as external objects, and whether the external data source supports ODATA protocol for data access.

NEW QUESTION # 240
A company has 12 million records, and a nightly integration queries these records.
Which two areas should a Data Architect investigate during troubleshooting if queries are timing out?
(Choose two.)

A. Make sure the query doesn ' t contain NULL in any filter criteria.
B. Create custom indexes on the fields used in the filter criteria.
C. Modify the integration users ' profile to have View All Data.
D. Create a formula field instead of having multiple filter criteria.

Answer: A,B

Explanation:
Making sure the query does not contain NULL in any filter criteria can avoid full table scans and leverage indexes more efficiently. Queries with NULL filters are not selective and can cause performance issues.
Creating custom indexes on the fields used in the filter criteria can also enhance the query performance by reducing the number of records to scan.

NEW QUESTION # 241
A company has 12 million records, and a nightly integration queries these records.
Which two areas should a Data Architect investigate during troubleshooting if queries are timing out? (Choose two.)

A. Make sure the query doesn't contain NULL in any filter criteria.
B. Create custom indexes on the fields used in the filter criteria.
C. Modify the integration users' profile to have View All Data.
D. Create a formula field instead of having multiple filter criteria.

Answer: A,B

NEW QUESTION # 242
Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product.
The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
What should a data architect suggest to mitigate Issues related to lookup skew?

A. Change the lookup relationship to master-detail relationship.
B. Select Clear the value of this field option while configuring the lookup relationship.
C. Create multiple similar products and distribute the skew across those products.
D. Create a custom object to maintain the relationship between products and customers.

Answer: C

Explanation:
creating multiple similar products and distributing the skew across those products can be a way to mitigate issues related to lookup skew. The article explains that lookup skew happens when a very large number of records are associated with a single record in the lookup object, and this can cause record locking and performance issues. The article suggests creating multiple copies of the same product record and assigning different child records to each copy, so that the number of child records per parent record is reduced.

NEW QUESTION # 243
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on -premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and
"Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?

A. Implement an integration tool to send OMS Accounts and Contacts to Salesforce.
B. Implement a Master Data Management strategy to reconcile Leads, Accounts, and Contacts.
C. Use the Streaming API to send Account and Contact data from Salesforce to the OMS.
D. Have Salesforce poll the OMS nightly and bring in the desired Accounts and Contacts.

Answer: B

Explanation:
Implementing a Master Data Management strategy to reconcile Leads, Accounts, and Contacts is the approach that the architect should suggest so that the requirements are met for UC. A Master Data Management strategy can provide a consistent and unified view of data across multiple systems, by defining and enforcing rules for data quality, governance, and integration. A Master Data Management strategy can also handle complex scenarios where different systems have different systems of record for different entities or fields, and where data can be modified in different systems with different values. A Master Data Management strategy can also provide a consolidated data store that links referenced records across systems and enables cross-system reporting and analysis. The other options are not suitable or sufficient for meeting the requirements, as they would either not provide a consolidated data store, not handle different systems of record, or not allow data modification in different system

NEW QUESTION # 244
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