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, i just passed the Data Architecture and Management Certification Exam yesterday. I started learning Salesforce in June of 2019 with FoF and Trailhead, got a nice Job in January, and now i got the rewarding Application Architect Certification. I almost exclusively learned with FoF and I´m very happy that this great Platform exists, definitly was a big part of my lifechanging Experience of the last year.
As i am going into Lightning Web Component in my Company right now (actually i am just starting learning) i am totally looking forward to the Java Script Developer Course :) . Thanks for all the great material!
Awesome news, Thomas! Thank you for sharing your journey, and congratulations on clearing the exam! The whole team is happy to know that our materials helped, cheers!
Hello Team, I am planning for my Data Architectural exam and using your study guide. It is pretty impresive, I really want to appreciate all the hard efforts put by the team in making various wonderful and easily understandable diagrams, various real life scenarios and solutions etc. Thanks
Hi sunil_dani, thank you for this feedback! The whole team is happy to know that you find the materials useful. Happy learning, and good luck!
Hi, When are you planning to start a course from Integration Architecture Designer? This will be my next step after I pass the Data Architecture and Management Designer?
Hi Bartosz, thank you for your question. As of the moment, we are working on a new course for the Javascript Developer I. We may consider adding the Integration Architecture Designer course in the future courses lineup but no definite time yet.
Thank you Focus on Force for this study guide . I have passed my exam in the first attempt. This study guide fully clarifies complex concepts with amazing illustrations . Please provide us study guide for rest of the CTA exams . It will be a huge favor to all us.
Hi Saira, congratulations and thanks for letting us know! Glad you found the materials useful.
Hi Passed First try on Data Architect. Actual questions were quite different in some areas but the questions from the practice bank encourages you to think out the question and eliminate wrong answers even if you are not 100% sure what the correct answer is
Awesome news, Martin! We are glad to know that our materials helped you in clearing the exam, cheers!
Hi, everyone, I passed the Salesforce Certified Data Architecture and Management Designer exam yesterday, this study guide is awesome !!!!
Thanks a lot.
Hi Roberto, congrats on passing the exam, we’re happy to hear that our course helped!
Passed my exam yesterday, first try and primarily used Focus On Force for studying. The study guide and practice tests were incredibly helpful. Thanks for the great resources.
Hi Diana, thanks for letting us know, great to hear that the materials helped you!
Hello, I just passed my Data Architecture & management certification yesterday. Thanks for the good content that helped me a lot to prepare.
Great news, jdevemy! Congratulations on clearing the exam, cheers!
Hi Trailblazers!
Just pass my Data Architecture certification today.
Thanks a lot to FocusOnForce, great materials.
From the new objectives, the only questions where I really had problems were on platform licenses. Good luck everybody.
That’s great news Pablo, thanks for sharing.
The exam outlines have been changed as of yesterday. https://trailhead.salesforce.com/en/help?article=Salesforce-Certified-Data-Architecture-and-Management-Designer-Exam-Guide
Any advice on how to proceed? I have my exam scheduled next week. Thanks, Martin
Hi Martin,
Yes, the exam outline was updated in the first week of April. We are working now on updating the content. As there are 5 new objectives and changes to the other objectives, it will take us a few weeks to complete. As objectives are updated or created, we will update the What’s New page.
In the meantime, we have removed the topics that are no longer in the exam outline and will be updating the structure so that it matches the new exam outline.
We appreciate your patience as we work to update the content.
Hi Martin,
I only recently started the course so didn’t see what changes were made 1st April. Could you please share which are the 5 new objectives? Understandable that it will take time to create the content, but then at least we will know which subjects we should be doing deeper study for.
Thanks,
Danny
Hi Danny, please see the ‘What’s New’ page. We are updating that when we create and publish new content.
Hi Martin,
I was asking about which objectives have changed, so I don’t need to wait and watch the “What’s New” section for the content to appear, and can learn elsewhere. It’s not your fault, as the syllabus just changed, but at least then I can plan where I can get information from in the meantime.
I will take it that any that say “Content coming soon” are new objectives then?
Thanks,
Danny
Hi Danny,
Here is the list of the new objectives that were added to Data Architecture.
Data Modeling / Database Design 25%
-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.
Salesforce Data Management 20%
-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.
Data Governance: 13%
-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.
Large Data Volume considerations 20%
-Given a customer scenario, design a data model that scales considering large data volume and solution performance.
-Given a customer scenario, decide when to use virtualised data and describe virtualised data options.
There are also a number of existing objectives that had modifications such as “Given a scenario”. So far we have published 5 new objectives and we have already added placeholders toggle with “Content Coming Soon” on our website for the other new objectives that we are yet to publish.