Languages: English
Audiences: IT Professionals
Technology: Microsoft Azure
Skills measured
This exam measures your ability to accomplish the technical tasks listed
below. The percentages indicate the relative weight of each major topic area on
the exam. The higher the percentage, the more questions you are likely to see on
that content area on the exam. View video tutorials about the variety of
question types on Microsoft exams.
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Design Azure Data Storage Solutions (30-35%)
Design an Azure Data solution
May include but is not limited to: Choose the correct data storage solution to
meet the technical and business requirements, calculate the storage capacity of
data, recommend tier based on data requirements, decide partition distribution
type
Design Azure Cloud data warehouses
May include but is not limited to: Design the data schema, design for scale
Design No-SQL Databases
May include but is not limited to: Design data distribution and Partitions,
design a CosmosDB solution, select the database platform, model data storage
based on use cases, select storage types
Design Azure SQL Database
May include but is not limited to: Design for scale, design data load
technologies, design solution architecture
Design hybrid data scenarios
May include but is not limited to: Design hybrid solution, design data
replication and synchronization
Design Data Processing Solutions (25-30%)
Design batch processing solutions
May include but is not limited to: Design batch processing solutions using
Spark, design batch processing solutions using Azure Databricks
Design big data real-time processing solutions
May include but is not limited to: Design for real-time processing, design for
LAMBDA architecture, design and provision compute resources
Design integration solutions
May include but is not limited to: Design cloud analytic solutions, design data
processing activities, design data migration
Design for Data Security and Compliance (15-20%)
Design source data access security
May include but is not limited to: Design network security, choose the
appropriate authentication mechanism, choose the appropriate authorization
mechanism
Design security for data policies and standards
May include but is not limited to: Design for data encryption, design for data
auditing, design for data privacy
Design a data retention policy
May include but is not limited to: Design a backup and recovery policy, evaluate
business requirements for data retention
Design for High Availability and Disaster Recovery (20-25%)
Design for Optimization
May include but is not limited to: Design for optimized HIVE processing, design
for optimized Data Lake, design for optimized SPARK processing, design for
optimized Azure Stream Analytics, design for optimized Data Warehouse, design
for optimized SQL DB, plan for the data life cycle
Design and implement a disaster recovery strategy
May include but is not limited to: Design a backup and recovery policy, design
an online disaster recovery strategy, design for multi-region availability, plan
for backup and restore
Design for High Availability
May include but is not limited to: Design for multi-region availability, design
for read scale, design for multi-master writes
Preparation options
Find classroom and online training
Explore more training on Microsoft Learn
Who should take this exam?
Candidates for this exam are Azure data engineers who are responsible for data
related tasks that include ingesting, egressing, and transforming data from
multiple sources using various services and tools. The Azure data engineer
collaborates with business stakeholders to identify and meet data requirements
while designing and implementing the management, monitoring, security, and
privacy of data using the full stack of Azure services to satisfy business
needs.
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