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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Large Data Volumes and Performance	20%	- LDV architecture design 1. Data distribution, archiving and partitioning strategies - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks - Storage and scalability planning 1. Data volume growth planning and storage limits
Data Integration	20%	- Integration patterns and technologies 1. APIs, middleware and external systems integration 2. Synchronous vs asynchronous, batch vs real-time - Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency - External data sources 1. External Objects, OData and virtual data access
Data Modeling and Database Design	25%	- Metadata management 1. Business dictionary, data lineage, taxonomy and classification - Data model design for Customer 360 1. Scalable design aligned with security and sharing model 2. Objects, fields, relationships and object features - Data skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships - Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons
Data Migration	15%	- Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Data quality and validation 1. Cleaning, deduplication and post-migration verification - Migration strategy and planning 1. Assessment, mapping, validation and rollback planning
Master Data Management	5%	- Golden record and system of truth 1. Establishing single source of truth in single org - MDM implementation approaches 1. Harmonization, consolidation, survivorship rules and thresholds 2. Canonical modeling and hierarchy management
Data Governance, Quality and Security	15%	- Data quality management 1. Profiling, monitoring, cleansing and enrichment - Data security and compliance 1. Access control, encryption, compliance and audit - Data governance framework 1. Policies, standards, ownership and stewardship

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Salesforce Certified Platform Data Architect Sample Questions (Q90-Q95):

NEW QUESTION # 90
Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage. What should a data architect recommend for a daily backup and restore solution?

A. Use ETL for backup and restore from EDW.
B. Change weekly backup process to daily backup, and implement a custom restore solution.
C. Use Bulk API to extract data on daily basis to EDW and REST API for restore.
D. Use AppExchange package for backup and restore.

Answer: D

Explanation:
The data architect should recommend using AppExchange package for backup and restore.
AppExchange is a marketplace for Salesforce apps and solutions that can be installed and configured in Salesforce orgs. There are several AppExchange packages that provide backup and restore functionality for Salesforce data, such as OwnBackup, Odaseva, or Spanning. These packages can perform daily backups of Salesforce data to a secure cloud storage, and provide restore capability to avoid any data loss in case of outage.

NEW QUESTION # 91
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of
10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

A. 1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
B. 1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.
C. 1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
D. 1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.

Answer: A

Explanation:
Option B is the most appropriate approach for data archiving in this scenario. By aggregating order amount data at a summary level and storing it in a custom object, you can reduce data storage and still provide visibility to the Sales Reps on how much money each customer generates year-over-year.

NEW QUESTION # 92
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 answer

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

Answer: B,C,E

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 systems.
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 # 93
A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?

A. Create custom fields to maintain latitude and longitude information
B. Recommend app exchange packages to support this requirement.
C. Create a geolocation custom field to maintain this requirement
D. Create formula fields with geolocation function for this requirement.

Answer: C

Explanation:
The correct answer is C, create a geolocation custom field to maintain this requirement. A geolocation custom field is a compound field that can store both latitude and longitude information in a single field. It also supports geolocation functions and distance calculations. Creating formula fields or custom fields for latitude and longitude separately would be inefficient and redundant.
Recommending app exchange packages would not be a direct solution to the requirement.

NEW QUESTION # 94
To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?

A. Errors when a duplicate Contact name is found cause upsert to fail.
B. Errors with duplicate external Id values within the same CSV file.
C. Errors with records being updated and inserted in the same CSV file.
D. Errors with using the wrong external Id will cause the load to fail.

Answer: B

Explanation:
Data Loader uses external Id fields to match records in the CSV file with records in Salesforce during an upsert operation. If the CSV file contains duplicate external Id values within the same file, Data Loader will throw an error saying "Duplicate Id Specified" and will not process those records. Therefore, it is important to ensure that the CSV file does not have any duplicate external Id values before using Data Loader to upsert records.

NEW QUESTION # 95
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