Note
Please be informed that Focus On Force has recently updated this Certification Course to reflect a more modern, stylish and accessible UI.
As you may have observed, we have cleaned up the Main Lesson Page to only show the Main Objectives, Mindmap (also available in Topic pages), and Feedback -- allowing you to have a more clutter-free workspace. We have created separate Topic Pages for each detailed objective which you can access at the left hand side of the page. Upon clicking, you will be presented with the Detailed Objectives under the Section that you have chosen. Additionally, we have put "Topic Progress" indicators which could guide you better on your progress.
For mobile users:
On the Main Course Page, you will see the Lesson Table wherein Percentages and Sections are listed. On the upper right hand side of the table, you will see options to "Expand All" and "Collapse All". If you click on "Expand All", it will give you the option to pick which objective you would like to access.
Resources
Lessons
Data Modeling / Database Design
- Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform (for example, objects, fields & relationships, object features).
- Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.
- Compare and contrast various techniques, approaches and considerations for capturing and managing business and technical metadata (e.g. business dictionary, data lineage, taxonomy, data classification).
- Compare and contrast the different reasons for implementing Big Objects vs Standard/Custom objects within a production instance, alongside the unique pros and cons of utilizing Big Objects in a Salesforce data model.
- Given a customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).
- Knowledge Check
Master Data Management
- Compare and contrast the various techniques, approaches and considerations for implementing Master Data Management Solutions (e.g., MDM implementation styles, harmonizing and consolidating data from multiple sources, establishing data survivorship rules, thresholds & weights, leveraging external reference data for enrichment, Canonical modeling techniques, hierarchy management)
- Given a customer scenario, recommend and use techniques for establishing a “golden record” or “system of truth” for the customer domain in a Single Org.
- Given a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss the criteria and methodology for picking the winning attributes.
- Given a customer scenario, recommend appropriate approaches and techniques to capture and maintain customer reference & metadata to preserve traceability and establish a common context for business rules.
- Knowledge Check
Salesforce Data Management
- Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
- Given a customer scenario, recommend techniques to ensure data is persisted in a consistent manner.
- Given a scenario with multiple systems of interaction, describe techniques to represent a single view of the customer on the Salesforce platform.
- Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.
- Knowledge Check
Data Governance
- PART 1: Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
- PART 2: Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
- PART 3: Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
- Given a customer scenario, recommend an approach for designing a GDPR compliant data model. Discuss the various options to identify, classify and protect personal and sensitive information.
- Knowledge Check
Large Data Volume Considerations
- Given a customer scenario, design a data model that scales considering large data volume and solution performance.
- PART 1: Given a customer scenario, recommend a data archiving and purging plan that is optimal for customer's data storage management needs.
- PART 2: Given a customer scenario, recommend a data archiving and purging plan that is optimal for customer's data storage management needs.
- Given a customer scenario, decide when to use virtualised data and describe virtualised data options.
- Knowledge Check
Data Migration
- Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.
- PART 1: Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.
- PART 2: Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.
- Compare and contrast various techniques and considerations for exporting data from Salesforce.
- Knowledge Check
Hi ALL, I just passed the Data Architecture and Management Designer exam. The study guide is very helpful! Thank you all the team.
Congratulations! We are glad to know that we are able to help, cheers!
Dear Focus on Force team, yesterday I passed the exam. Thanks for the great work you do to make it easy!
Congratulations on clearing the exam, Carlos! Cheers!
Hello Team, I passed my Data Architecture and Management Designer exam on 10/25. Great Study guide and Practice exams. Big thanks to FOF team for their efforts in putting together the study material.
Great news, parag! Congratulations on clearing the exam. We are happy to know that our materials helped, cheers!
Hello all, just passed the Data Architecture and Management Designer exam. The study guide is very helpful. Thank you all the team for creating such a wonderful study guide.
Awesome news, Indra! Thanks for sharing your experience and congratulations on clearing the exam!
Cleared in first attempt, credit goes to FOF material and practice exams, you guys are amazing !!!
Hi Sunil, congrats on passing DA, great news! Thanks for sharing, we’re happy to hear our materials helped!
Hi Guys! Just passed the Data Architecture and Management Designer (Today Oct. 5th 2020). The Study Guide and Practice Exams really helped me! Great Job FOF Team!
Great to hear Leonardo, thanks for the feedback!
Hello FOF Team,
I just passed the Data Architecture & Management Designer test and completed the Application Architect certification. The FOF study guides and question banks with answers were really helpful combined with the Trailhead material. Thank you so much! Lance
Awesome news, Lance! Congratulations on clearing the exam, the whole FoF team is happy to know that we are able to help. Cheers!
Hi All, Passed Data Architecture and Designer exam on 9/26 (Sat),. Thanks for the wonderful Study guides. Practice Tests are too good and very helpful to clear the exam with full of confidence.
Earlier Passed the Sharing and Visibility designer too last Month ( Aug 8th). Now Become Application Architect , Thank you so much!!!
Hi LOURDURAJA! Thanks for sharing your Salesforce journey with us, we are happy to know that our materials helped. Congratulations!
Hello FoF team,
A big thank you for all the great material and amazing support. I was able to clear my Data Architecture & Management Designer exam. The study guide helped me a lot and the questions helped me fine tune my skills in terms of applications. Big shout out to everyone in the team. Thank you so much!
Awesome news, Siddhant! Congratulations on clearing the exam! The whole FOF team is happy to know that we are able to help, cheers!
Hello guys, just passed the Data Architecture and Management Designer, the study guide is really helpful, big thanks to all FoF team 😉
Great news, Narciso! Congratulations on clearing the exam! The whole team is happy to know that we are able to help. Cheers!