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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Master Data Management	5%	- Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy
Data Migration	15%	- Describe the tools and best practices for data migration - Describe the implications of data migration on data quality - Describe the considerations for data migration
Data Governance	10%	- Describe the considerations for data quality - Describe the elements of a data governance framework - Describe the considerations for data classification
Data Modeling/Database Design	25%	- Describe the options and considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling - Explain the usage of external objects - Describe the considerations when designing a data model for Salesforce
Salesforce Data Management	25%	- Describe the considerations for data governance - Describe the considerations for data archival - Describe the implications of LDV on data management - Describe the considerations for data migration
Large Data Volumes	20%	- Describe the features and best practices for LDV - Describe the implications of LDV on data modeling - Describe the considerations for Large Data Volumes (LDV)

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Salesforce Certified Platform Data Architect Sample Questions (Q278-Q283):

NEW QUESTION # 278
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.

What should the Architect consider in this situation?

A. Calculate summary values instead of Roll-Up by using workflow.
B. Calculate summary values instead of Roll-Up by using triggers.
C. Load all data using external IDs to link to parent records.
D. Load all data after deferring sharing calculations.

Answer: D

Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for deferring sharing calculations". This implies that option A is the correct way to load large amounts of data into Salesforce without affecting performance and data integrity.
Deferring sharing calculations allows the data to be loaded first and then the sharing rules to be applied later.

NEW QUESTION # 279
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset. Which tool should a data architect recommend to accomplish this reporting requirement?

A. Install a third-party AppExchange tool for multi-org reporting.
B. Write a Python script to aggregate and visualize the data.
C. Use Einstein Analytics for multi-org.
D. Run standard reports and dashboards.

Answer: C

Explanation:
According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.

NEW QUESTION # 280
DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out. What should be considered to address this issue?

A. Metadata API
B. Streaming API
C. Tooling API
D. PK Chunking

Answer: D

Explanation:
PK Chunking is a feature of the Bulk API that allows splitting a large query into smaller batches based on the primary key of the object. This can improve the performance and avoid query timeouts when querying large data sets

NEW QUESTION # 281
Which tool is best for large data migration?

A. Reports
B. Flow
C. Import Wizard
D. Data Loader

Answer: D

Explanation:
Data Loader supports bulk import/export.

NEW QUESTION # 282
Universal Containers has a custom object with millions of rows of data. When executing SOQL queries, which three options prevent a query from being selective? (Choose three.)

A. Using a custom index on a deterministic formula field.
B. Performing large loads and deletions.
C. Using leading % wildcards.
D. Using trailing % wildcards.
E. Using NOT and != operators.

Answer: B,C,E

Explanation:
Using leading % wildcards, performing large loads and deletions, and using NOT and != operators are three options that prevent a query from being selective. These options can cause the query to scan a large number of records or indexes, which can negatively impact the performance and scalability of the query. Using a custom index on a deterministic formula field, on the other hand, can improve the query selectivity by allowing the query to use the index instead of scanning all the records6.

NEW QUESTION # 283
......

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