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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Data Architecture	20%	- Archiving and data lifecycle management - Architecture patterns and design principles - Performance tuning and optimization - Governor limits and bulk processing
Data Integration	15%	- ETL tools and data migration strategies - Sharing rules impact on data integration - Handling locks and parallelism during migration - Real-time vs batch integration patterns - API-based integration (REST, SOAP, Bulk API)
Data Modeling	25%	- Skinny tables for performance optimization - Large Data Volumes (LDV) design considerations - Normalization and denormalization strategies - Big Objects and external objects - Indexing strategies
Data Governance	20%	- Compliance and regulatory considerations - Data retention and archiving policies - Data quality standards and metrics - Data stewardship roles and responsibilities
Master Data Management	20%	- Data cleansing techniques - Data duplication and matching rules - Identity resolution

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Salesforce Certified Data Architect Sample Questions (Q112-Q117):

NEW QUESTION # 112
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?

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

Answer: D

NEW QUESTION # 113
NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO is facing query timeout issues while extracting these records.
What should a data architect recommend in order to get around the time out issue?

A. Use a custom auto number and formula field and use that to chunk records while extracting data.
B. Use ETL tool for extraction of records.
C. The REST API to extract data as it automatically chunks records by 200.
D. Ask SF support to increase the query timeout value.

Answer: B

NEW QUESTION # 114
UC is building a salesforce application to track contacts and their respective conferences that they have attended with the following requirements:
1.Contacts will be stored in the standard contact object.
2.Conferences will be stored in a custom conference_ c object.
3.Each contact may attend multiple conferences and each conference may be related to multiple contacts.
How should a data architect model the relationship between the contact and conference objects?

A. Create a lookup relationship field on contact object.
B. Create a master detail relationship field on the Conference object.
C. Implement a Contact Conference junction object with master detail relationship to both contact and conference_c
D. Create a master detail relationship field on the Contact object.

Answer: C

Explanation:
Implementing a Contact Conference junction object with master detail relationship to both contact and conference_c is the correct way to model the relationship between the contact and conference objects, as it allows a many-to-many relationship between them. This means that each contact can attend multiple conferences, and each conference can be related to multiple contacts. Creating a master detail relationship field on either the contact or the conference object would create a one-to-many relationship, which does not meet the requirements. Creating a lookup relationship field on contact object would also create a one-to-many relationship, and would not enforce referential integrity.

NEW QUESTION # 115
UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled.
What should a data architect recommend to ensure data quality is maintained in salesforce.

A. Ensure the lead data is preprocessed for quality before loading into salesforce.
B. Allow validation rules to be activated during the load of leads into salesforce.
C. Develop custom APEX batch process to improve quality once the load is completed.
D. Activate validation rules once the leads are loaded into salesforce to maintain quality.

Answer: A

Explanation:
Ensuring the lead data is preprocessed for quality before loading into Salesforce is the best way to maintain data quality2. Activating validation rules after the load or developing a custom Apex batch process may not catch all the errors or may require additional time and resources. Allowing validation rules to be activated during the load may cause failures or delays.

NEW QUESTION # 116
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?

A. Create a new Lightning Component that displays last humidity and temperature data for a specific container and can also display historical trends obtaining relevant data from UC's existing data warehouse.
B. Create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour.
C. Create a new Container Reading custom object, which is created when a new measure is received for a specific container. The Container Reading custom object has a master-detail relationship to the container object.
D. Create new custom fields for temperature and humidity in the existing Container custom object, as well as an external ID field that is unique for each container. These custom fields are updated when a new measure is received.

Answer: B

Explanation:
The recommended solution for Universal Containers (UC) to implement its new Internet of Things technology is to create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour. This solution would allow UC to store and access current and historical temperature and humidity data for each container on Salesforce, and use reports and dashboards to analyze it. However, since UC expects a large volume of data over time, they should implement an archiving process that moves data off-platform after a certain period of time to avoid hitting the Org data storage limit and maintain optimal performance. The other options are not recommended, as they would either not store the historical data on Salesforce, or create too many custom fields on the Container object that could impact performance and usability.

NEW QUESTION # 117
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