Latest Data-Architect Preparation Materials: Salesforce Certified Data Architect - Data-Architect Study Guide - DumpsReview

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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Governance20%- Data retention and archiving policies
- Data quality standards and metrics
- Data stewardship roles and responsibilities
- Compliance and regulatory considerations
Topic 2: Data Integration15%- API-based integration (REST, SOAP, Bulk API)
- Sharing rules impact on data integration
- ETL tools and data migration strategies
- Real-time vs batch integration patterns
- Handling locks and parallelism during migration
Topic 3: Data Modeling25%- Normalization and denormalization strategies
- Skinny tables for performance optimization
- Indexing strategies
- Big Objects and external objects
- Large Data Volumes (LDV) design considerations
Topic 4: Master Data Management20%- Data duplication and matching rules
- Data cleansing techniques
- Identity resolution
Topic 5: Data Architecture20%- Architecture patterns and design principles
- Governor limits and bulk processing
- Archiving and data lifecycle management
- Performance tuning and optimization

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Salesforce Certified Data Architect Sample Questions (Q52-Q57):

NEW QUESTION # 52
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error.
Which solution should a data architect recommend, to resolve the error?

Answer: B

Explanation:
The best solution to resolve the error of "Unable to lock a row" during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record. To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API12. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches. Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation


NEW QUESTION # 53
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org.
UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org.
Which three recommendations should a data architect make is order to reduce the number of records from the org?
Choose 3 answers

Answer: A,B,D

Explanation:
Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org1. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API


NEW QUESTION # 54
A large telecommunication provider that provides internet services to both residence and business has the following attributes:
A customer who purchases its services for their home will be created as an Account in Salesforce.
Individuals within the same house address will be created as Contact in Salesforce.
Businesses are created as Accounts in Salesforce.
Some of the customers have both services at their home and business.
What should a data architect recommend for a single view of these customers without creating multiple customer records?

Answer: B


NEW QUESTION # 55
Universal Containers has more than 10 million records in the Order_c object. The query has timed out when running a bulk query. What should be considered to resolve query timeout?

Answer: B

Explanation:
PK Chunking can resolve query timeout when running a bulk query on an object with more than 10 million records. PK Chunking is a feature of the Bulk API that splits a query into multiple batches based on the record IDs (primary keys) of the queried object. This can improve the query performance and avoid timeouts by reducing the number of records processed in each batch.


NEW QUESTION # 56
Cloud Kicks has the following requirements:
* Their Shipment custom object must always relate to a Product, a Sender, and a Receiver (all separate custom objects).
* If a Shipment is currently associated with a Product, Sender, or Receiver, deletion of those records should not be allowed.
* Each custom object must have separate sharing models.
What should an Architect do to fulfill these requirements?

Answer: D

Explanation:
A required Lookup relationship ensures that the Shipment record must have a value for each of the three parent records, and also prevents the deletion of those parent records if they are referenced by a Shipment record. A Master-Detail relationship would not allow separate sharing models for each custom object, and a VLOOKUP formula field would not enforce the relationship or prevent deletion


NEW QUESTION # 57
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