AWS DEA-C01 Exam Preparation
AWS DEA-C01 Data Engineering. AWS data services, analytics pipelines, and hands-on labs.
Course Description
This course prepares you for the AWS DEA-C01 exam. We cover data engineering concepts, AWS data services, and analytics pipelines. Hands-on labs, real scenarios, and practice exams included.
Course Curriculum
5 sections • 14.75 hours total length
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How the DEA-C01 Exam is Organized (12m)
Learn the exam format, question types, and scoring system to know exactly what to expect on test day.
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Breaking Down the Exam Domains (18m)
Get a clear breakdown of each exam section and how much weight each domain carries in your final score.
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Setting Realistic Study Timelines (8m)
Create a practical study schedule that fits your current work commitments and learning pace.
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Identifying Your Knowledge Gaps (15m)
Use our assessment tools to pinpoint exactly which areas need more focus in your preparation.
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Choosing the Right Study Materials (10m)
Navigate through various study resources and select the most effective ones for your learning style.
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Setting Up Your Practice Environment (14m)
Configure your AWS free tier account and practice environment for hands-on learning.
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Understanding Question Patterns (16m)
Recognize common question formats and learn strategies for answering multiple-choice and scenario-based questions.
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How AWS Glue Works for ETL (22m)
Master AWS Glue concepts and learn how to design efficient data transformation pipelines.
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Amazon Redshift Deep Dive (25m)
Understand Redshift architecture, optimization techniques, and common exam scenarios.
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Amazon Kinesis Data Streams and Analytics (20m)
Learn streaming data processing patterns and how to implement real-time analytics solutions.
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Amazon Athena Query Optimization (18m)
Discover best practices for writing efficient SQL queries and managing costs in Athena.
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Amazon EMR Cluster Management (24m)
Get hands-on with EMR cluster configuration, scaling, and troubleshooting common issues.
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AWS Lake Formation Security (16m)
Understand data governance, permissions, and security patterns for data lakes.
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Amazon QuickSight Visualization (14m)
Learn dashboard creation, embedded analytics, and cost optimization for QuickSight.
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Data Pipeline Orchestration with AWS (21m)
Design end-to-end data workflows using AWS Step Functions and managed services.
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Real-World Data Analytics Architecture (28m)
Analyze complete case studies showing how organizations implement AWS data solutions.
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Tackling Complex Scenario Questions (19m)
Learn systematic approaches for breaking down multi-part scenario questions and selecting the best answers.
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Elimination Techniques for Multiple Choice (13m)
Develop strategies to quickly eliminate wrong answers and increase your accuracy rate.
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Time Management During the Exam (11m)
Practice pacing techniques to ensure you complete all questions within the allotted time.
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Handling Trick Questions and Distractors (17m)
Identify common exam traps and learn how to spot the subtle differences between similar answers.
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AWS Service Limits and Quotas (15m)
Memorize and understand key service limits that frequently appear in exam questions.
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Cost Optimization Scenarios (20m)
Work through real cost optimization problems that test your ability to choose efficient solutions.
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Security and Compliance Questions (16m)
Master security best practices and compliance requirements for AWS data services.
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Practice Exam Analysis Session (32m)
Review detailed explanations for challenging practice questions and understand the reasoning behind each answer.
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Building a Data Lake with Lake Formation (26m)
Step-by-step lab to create and secure a data lake using AWS Lake Formation services.
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ETL Pipeline with AWS Glue (24m)
Build a complete ETL pipeline from data ingestion to transformation using AWS Glue.
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Real-Time Analytics with Kinesis (28m)
Set up streaming data processing and create real-time dashboards with Kinesis services.
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Data Warehousing with Redshift (30m)
Design and optimize a Redshift cluster for analytical workloads and query performance.
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Serverless Analytics with Athena (22m)
Create serverless analytics solutions and learn cost management techniques for Athena.
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Big Data Processing with EMR (27m)
Configure and run Spark jobs on EMR clusters for large-scale data processing.
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Interactive Dashboards with QuickSight (19m)
Build interactive BI dashboards and embed them in applications using QuickSight.
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End-to-End Analytics Solution (35m)
Combine multiple AWS services into a complete analytics solution for a business scenario.
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Troubleshooting Common Issues (21m)
Learn to diagnose and resolve typical problems that occur in AWS data analytics environments.
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Performance Tuning Workshop (23m)
Apply optimization techniques to improve query performance and reduce costs in practice labs.
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Creating Your Final Study Plan (14m)
Develop a personalized review schedule focusing on your weakest areas before the exam.
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Last-Minute Topic Review Checklist (12m)
Use our comprehensive checklist to ensure you've covered all critical exam topics.
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Practice Exam #1 Walkthrough (30m)
Complete a full practice exam with detailed explanations for each question.
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Practice Exam #2 Walkthrough (32m)
Another full practice exam to build confidence and identify remaining weak spots.
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Practice Exam #3 Walkthrough (29m)
Final practice exam simulation to prepare you for the actual test experience.
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Exam Day Preparation Tips (10m)
Learn practical tips for the day before and day of the exam to maximize your performance.
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Managing Test Anxiety (13m)
Techniques to stay calm and focused during the exam to perform at your best.
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Answer Review Strategies (15m)
Learn how to effectively review your answers before submitting and catch mistakes.
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What to Do After the Exam (8m)
Understand the certification process, score reporting, and next steps after completing the exam.
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Continuing Your AWS Learning Journey (11m)
Discover advanced certifications and learning paths to continue growing your AWS expertise.
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Final Q&A and Common Concerns (16m)
Address frequently asked questions and concerns about the DEA-C01 certification process.
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Course Wrap-Up and Resources (9m)
Review all course materials, downloadable resources, and where to find additional support.
Course Details
- Duration: 14.75 hours
- Level: Adaptative
- Language: English
- Lessons: 46+ video lessons
- Categories: IT Certifications
- Access: Lifetime access
- Device: Mobile & Desktop
- Certificate: Yes. After completion and Exam
The course is totally free. Seriously appreciated attribution
