Use the Latest Salesforce Data-Architect Questions to pass your Certification Exam

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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a certification program designed to validate the skills and knowledge of professionals in the Salesforce platform. It is an advanced-level certification test that assesses the abilities of individuals to design and implement complex data architectures and management strategies using Salesforce products and solutions.

To be eligible for the Salesforce Data-Architect exam, candidates must have a minimum of five years of experience in data architecture and management, including at least two years of experience working with the Salesforce platform. They must also hold one of the prerequisite certifications, such as Salesforce Certified Application Architect or Salesforce Certified System Architect. Passing the Salesforce Data-Architect Exam is a significant achievement that demonstrates a deep understanding of Salesforce data architecture and management, and it can open up new career opportunities in the field.

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Salesforce Data-Architect certification is designed for individuals who have expertise in designing, building, and implementing data solutions on the Salesforce platform. Salesforce Certified Data Architect certification validates the skills required to design and implement scalable, robust, and efficient data solutions on the Salesforce platform. The Salesforce Data-Architect Certification is the ultimate validation of your skills and expertise in designing and implementing data solutions on the Salesforce platform.

Salesforce Certified Data Architect Sample Questions (Q244-Q249):

NEW QUESTION # 244
UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application.
Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answers.

A. Limit associating 10000 records looking up to same records.
B. Limit assigning one user 10000 records ownership.
C. Limit associating 10000 opportunities to one account.
D. Use picklist fields rather than lookup to custom object.
E. Assign 10000 opportunities to one account.

Answer: B,C

NEW QUESTION # 245
NTO has 1 million customer records spanning 25 years. As part of its new SF project, NTO would like to create a master data management strategy to help preserve the history and relevance of its customer data.
Which 3 activities will be required to identify a successful master data management strategy? Choose 3 answers:

A. Identify data to be replicated
B. Create a data archive strategy
C. Define the systems of record for critical data
D. Choose a Business Intelligence tool.
E. Install a data warehouse

Answer: A,B,C

Explanation:
The three activities that will be required to identify a successful master data management strategy are:
Identify data to be replicated: This activity involves determining which data elements need to be copied from one system to another, and how frequently the replication should occur. This can help ensure data consistency and availability across systems.
Create a data archive strategy: This activity involves defining how historical data will be stored, accessed, and deleted over time. This can help optimize data storage, performance, and compliance.
Define the systems of record for critical data: This activity involves identifying which system owns and maintains the authoritative version of each data element. This can help avoid data conflicts and duplication across systems67.
Install a data warehouse is not a required activity, but rather a possible option for consolidating data from multiple sources for analytics purposes. Choose a Business Intelligence tool is not a required activity, but rather a possible option for visualizing and reporting on data from various sources.

NEW QUESTION # 246
Universal Container (UC) stores 10 million rows of inventory data in a cloud database, As part of creating a connected experience in Salesforce, UC would like to this inventory data to Sales Cloud without a import. UC has asked its data architect to determine if Salesforce Connect is needed.
Which three consideration should the data architect make when evaluating the need for Salesforce Connect?

A. You need to small amounts of external data at any one time.
B. You have a large amount of data and would like to copy subsets of it into Salesforce.
C. You want real-time access to the latest data, from other systems.
D. You need to expose data via a virtual private connection.
E. You have a large amount of data that you don't want to copy into your Salesforce org.

Answer: A,C,E

NEW QUESTION # 247
Universal Containers has a large number of Opportunity fields (100) that they want to track field history on. Which two actions should an architect perform in order to meet this requirement? Choose 2 answers

A. Create a custom object to store the previous and new field values.
B. Select the 100 fields in the Opportunity Set History Tracking page.
C. Create a custom object to store a copy of the record when changed.
D. Use Analytic Snapshots to store a copy of the record when changed.

Answer: A,C

NEW QUESTION # 248
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
Data will be used to drive marketing and product development initiatives.
NTO estimates that the program will generate 100 million rows of date monthly.
NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?

A. Create a custom big object in Salesforce which will be used to capture the Reward Program data for consumption by Einstein.
B. Create a big object in Einstein Analytics to capture the Loyalty Program data.
C. Have Einstein connect to the point of sales system to capture the Reward Program data.
D. Create a custom object in Salesforce that will be used to capture the Reward Program data.

Answer: A

Explanation:
According to the official Salesforce guide1, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery.
Option B is incorrect because Einstein cannot connect directly to the point of sales system to capture the reward program data. Option C is incorrect because Einstein Analytics does not support creating big objects.
Option D is incorrect because custom objects are not suitable for storing large volumes of data.

NEW QUESTION # 249
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