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Salesforce Data-Architect Dumps

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Data-Architect
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Salesforce Certified Data Architect (SP24)
Last Update: Jun 12, 2024
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Data-Architect FAQs

A data architect is a professional responsible for designing and managing an organization's data infrastructure. They create data models, define data standards, and develop strategies for data storage, retrieval, and usage to support business objectives and analytics.

A data architect designs and oversees the organization's data systems, ensuring effective data management, storage, and retrieval. They create data models, implement data governance, and optimize databases to support data-driven decision-making and business objectives.

The salary of a data architect varies based on factors like experience, location, and industry. On average, they earn between $90,000 to $150,000 annually, with potential for higher earnings in senior roles or high-demand regions.

To become a data architect, start with a relevant bachelor's degree in computer science or a related field. Gain experience as a database developer or analyst. Develop expertise in data modeling, database management systems, and data architecture. Pursue relevant certifications and continue learning about emerging technologies.

A data warehouse architect designs and manages data warehousing solutions. They develop the architecture, schema, and ETL processes for storing, organizing, and retrieving data efficiently, enabling data-driven insights and decision-making within organizations.

A big data architect is a professional who designs and oversees the infrastructure for processing, storing, and analyzing large and complex datasets. They develop scalable and high-performance systems to derive valuable insights from big data for business applications.

 

The job of a data architect involves designing, organizing, and managing an organization's data infrastructure. They create data models, establish data standards, and optimize data storage and retrieval systems to support efficient data management and facilitate data-driven decision-making.

A data architect's work revolves around designing and overseeing data systems, establishing data models, implementing data standards, and optimizing databases. They ensure efficient data management, storage, and retrieval to support business objectives and data-driven decision-making.

To enhance data architect skills, professionals can pursue advanced education, gain hands-on experience, stay updated with industry trends, and earn relevant certifications. Collaborating on projects, learning data modeling techniques, and mastering data management tools are also valuable for skill improvement.

Data architect responsibilities encompass designing data systems, creating data models, implementing data governance, and optimizing databases. They ensure efficient data management, storage, and retrieval to support an organization's goals and data-driven decision-making.

The salary of a big data architect in Atlanta depends on experience and expertise. On average, they earn between $130,000 to $190,000 annually, but this can vary based on factors like industry, company, and demand for skills.

The role of a data architect involves designing and managing data systems, creating data models, establishing data governance, and optimizing databases. They ensure efficient data management, storage, and retrieval to support an organization's data-driven objectives and decision-making processes.

To become a big data architect, acquire a strong foundation in data engineering, analytics, and cloud computing. Gain hands-on experience with big data technologies like Hadoop and Spark. Obtain relevant certifications and continually update your skills to meet industry demands.

Becoming a big data architect can be challenging but rewarding. It requires in-depth knowledge of data technologies, cloud computing, and analytics. Success depends on dedication, continuous learning, and practical experience in the field.

The functions of a data architect include designing data systems, creating data models, establishing data governance, and optimizing databases. They ensure efficient data management, storage, and retrieval to support an organization's data-driven goals and decision-making processes.

A big data developer primarily focuses on coding, data processing, and analytics implementation, while a big data solutions architect designs the overall system's structure, selects technologies, and ensures the entire solution meets business objectives, often requiring broader strategic and design skills.

A relational data architect transitioning to big data can gain expertise in NoSQL databases, Hadoop, and distributed computing. Learning programming languages like Python and acquiring big data certifications can also facilitate the transition.

The number of individuals clearing data architect certifications varies and depends on the specific certification program and the demand for data architecture professionals in the industry. Certification statistics can change over time.

The top three skills for a data architect are data modeling expertise to design efficient databases, strong knowledge of data management tools, and the ability to align data strategies with organizational objectives for effective data-driven decision-making.

Architecting a successful data warehouse involves steps like defining clear objectives, designing an appropriate data model, selecting suitable ETL tools, ensuring data quality, implementing security measures, and regularly optimizing performance for efficient data storage and retrieval.

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Salesforce Certified Data Architect (SP24) Questions and Answers

Questions 1

During the implementation of Salesforce, a customer has the following requirements for Sales Orders:

1. Sales Order information needs to be shown to users in Salesforce.

2. Sales Orders are maintained in the on-premises enterprise resource planning (ERP).

3. Sales Order information has more than 150 million records.

4. Sales Orders will not be updated in Salesforce.

What should a data architect recommend for maintaining Sales Orders in salesforce?

Options:

A.

Us custom objects to maintain Sales Orders in Salesforce.

B.

Use custom big objects to maintain Sales Orders in Salesforce.

C.

Use external objects to maintain Sales Order in Salesforce.

D.

Use Standard order object to maintain Sale Orders in Salesforce

Questions 2

How can an architect find information about who is creating, changing, or deleting certain fields within the past two months?

Options:

A.

Remove "customize application" permissions from everyone else.

B.

Export the metadata and search it for the fields in question.

C.

Create a field history report for the fields in question.

D.

Export the setup audit trail and find the fields in question.

Questions 3

Universal Containers (UC) manages Vehicle and Service History in Salesforce. Vehicle (Vehicle__ c) and

Service History (Service-History__ c) are both custom objects related through a lookup relationship.

Every week a batch synchronization process updates the Vehicle and Service History records in Salesforce. UC has two hours of migration window every week and is facing locking issues as part of the data migration process.

What should a data architect recommend to avoid locking issues without affecting performance of data migration?

Options:

A.

Use Bulk API parallel mode for data migration

B.

Use Bulk API serial mode for data migration

C.

Insert the order in another custom object and use Batch Apex to move the records to Service_ Order__ c

object.

D.

Change the lookup configuration to "Clear the value of this field" when lookup record is deleted.