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AWS Certified Data Engineer - Associate (DEA-C01)

Comprehensive Certified Data Engineer - Associate (DEA-C01) hive provides study notes, practice tests, flashcards, and hands-on labs, all supported by a personal AI tutor to help you master the AWS Certified Data Engineer - Associate DEA-C01 certification.

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Mock Exams

153

Study Notes

680

Flashcard Decks

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Study Notes & Guides

153 AI-generated study notes covering the full AWS Certified Data Engineer - Associate (DEA-C01) curriculum.

AWS Data Engineering: Addressing Changes to Data Characteristics

Address changes to the characteristics of data

945 words

Analyzing Logs with AWS Services: A Study Guide

Analyze logs by using AWS services (for example, Athena, CloudWatch Logs Insights, Amazon OpenSearch Service)

945 words

Mastering Log Analysis with AWS Services: DEA-C01 Study Guide

Analyze logs with AWS services (for example, Athena, Amazon EMR, Amazon OpenSearch Service, CloudWatch Logs Insights, big data application logs)

925 words

AWS Authorization Methods: RBAC, ABAC, and TBAC

Apply authorization methods that address business needs (role-based, tag-based, and attribute-based)

1,152 words

Applying IAM Policies to Roles, Endpoints, and Services

Apply IAM policies to roles, endpoints, and services (for example, S3 Access Points, AWS PrivateLink)

1,150 words

AWS Storage Services: Purpose-Built Data Stores and Vector Indexing

Apply storage services to appropriate use cases (for example, using indexing algorithms like Hierarchical Navigable Small Worlds [HNSW] with Amazon Aurora PostgreSQL and using Amazon MemoryDB for fast key/value pair access)

940 words

Curriculum Overview: AWS Audit Logs and Governance for Data Engineers

Audit Logs

875 words

Hands-On Lab: Implementing and Analyzing Audit Logs in AWS

Audit Logs

850 words

Curriculum Overview: Authentication Mechanisms for AWS Data Engineering

Authentication Mechanisms

845 words

Lab: Implementing Secure Authentication with IAM Roles and Secrets Manager

Authentication Mechanisms

945 words

Curriculum Overview: AWS Authorization Mechanisms for Data Engineers

Authorization Mechanisms

785 words

Lab: Implementing Least-Privilege Authorization with IAM Roles and Policies

Authorization Mechanisms

850 words

Automating Data Pipelines: Event-Driven Processing with Step Functions and Lambda

Automate data processing by using AWS services

940 words

Curriculum Overview: Automating Data Processing with AWS (DEA-C01)

Automate data processing by using AWS services

845 words

AWS Certified Data Engineer – Associate (DEA-C01): Curriculum Overview

AWS - Certified Data Engineer - Associate DEA-C01

895 words

Mastering Technical Data Catalogs: AWS Glue and Apache Hive

Build and reference a technical data catalog (for example, AWS Glue Data Catalog, Apache Hive metastore)

1,050 words

AWS Data Pipeline Engineering: Performance, Availability, and Resilience

Build data pipelines for performance, availability, scalability, resiliency, and fault tolerance

945 words

Data Engineering Study Guide: Integrating AWS Lambda with Amazon Kinesis

Call a Lambda function from Kinesis

864 words

Mastering Programmatic Access: AWS SDKs and Developer Tools for Data Engineering

Call SDKs to access Amazon features from code

1,085 words

Curriculum Overview: Cataloging and Schema Evolution (AWS Data Engineer Associate)

Cataloging and Schema Evolution

820 words

Lab: Mastering Schema Evolution with AWS Glue Crawlers

Cataloging and Schema Evolution

945 words

Configuring Encryption Across AWS Account Boundaries

Configure encryption across AWS account boundaries

945 words

AWS Lambda: Concurrency and Performance Optimization

Configure Lambda functions to meet concurrency and performance needs

925 words

AWS Data Store Selection & Configuration Guide

Configure the appropriate storage services for specific access patterns and requirements (for example, Amazon Redshift, Amazon EMR, Lake Formation, Amazon RDS, DynamoDB)

925 words

Mastering Data Source Connectivity: JDBC & ODBC in AWS

Connect to different data sources (for example, Java Database Connectivity [JDBC], Open Database Connectivity [ODBC])

925 words

Mastering AWS Custom Policies & The Principle of Least Privilege

Construct custom policies that meet the principle of least privilege

1,150 words

AWS Data Engineering: Consuming and Maintaining Data APIs

Consume and maintain data APIs

845 words

Mastering Data API Consumption and Creation on AWS

Consume data APIs

1,050 words

Mastering IP Allowlisting and Network Connectivity for Data Sources

Create allowlists for IP addresses to allow connections to data sources

945 words

Mastering AWS Data Catalogs: Business and Technical Metadata Management

Create and manage business data catalogs (for example, Amazon SageMaker Catalog)

945 words

Credential Management and Secret Rotation with AWS Secrets Manager

Create and rotate credentials for password management (for example, AWS Secrets Manager)

925 words

Mastering AWS IAM: Identities, Policies, and Endpoints

Create and update AWS Identity and Access Management (IAM) groups, roles, endpoints, and services

920 words

Mastering Custom IAM Policies: Beyond AWS Managed Defaults

Create custom IAM policies when a managed policy does not meet the needs

890 words

AWS Data APIs: Building the Front Door for Your Data Lake

Create data APIs to make data available to other systems by using AWS services

875 words

AWS Glue: Source and Target Connections for Data Cataloging

Create new source or target connections for cataloging (for example, AWS Glue)

1,050 words

Data Analysis and Querying Using AWS Services: Curriculum Overview

Data Analysis and Querying Using AWS Services

745 words

Lab: Building a Serverless Data Lake with AWS Glue and Amazon Athena

Data Analysis and Querying Using AWS Services

1,050 words

Curriculum Overview: Data Encryption and Masking in AWS

Data Encryption and Masking

680 words

Hands-On Lab: Implementing Data Encryption and PII Masking on AWS

Data Encryption and Masking

920 words

Curriculum Overview: Data Lifecycle Management (AWS DEA-C01)

Data Lifecycle Management

842 words

Hands-On Lab: Implementing Automated Data Lifecycle Management on AWS

Data Lifecycle Management

945 words

Curriculum Overview: Data Models and Schema Evolution

Data Models and Schema Evolution

845 words

Lab: Managing Schema Evolution with AWS Glue and Athena

Data Models and Schema Evolution

920 words

Curriculum Overview: Data Privacy and Governance

Data Privacy and Governance

820 words

Lab: Implementing Data Privacy and Governance on AWS

Data Privacy and Governance

1,050 words

Automating Data Quality Validation with AWS Glue and DQDL

Data Quality and Validation

945 words

Curriculum Overview: Data Quality and Validation (AWS DEA-C01)

Data Quality and Validation

685 words

Lab: Building a Real-Time Serverless Transformation Pipeline with Amazon Data Firehose and AWS Lambda

Data Transformation and Processing

925 words

AWS Data Engineering: Data Aggregation, Rolling Averages, Grouping, and Pivoting

Define data aggregation, rolling average, grouping, and pivoting

920 words

Mastering Data Quality Rules: AWS Glue Data Quality & DataBrew

Define data quality rules (for example, DataBrew)

920 words

Showing 50 of 153 study notes. View all →

Sample Practice Questions

Try 5 sample questions from a bank of 635.

Q1.A database administrator is tasked with configuring a new role in Amazon Redshift named `Marketing_Analyst`. The configuration must meet two requirements: 1. The `Marketing_Analyst` role must inherit all existing permissions from the `ReadOnly_Base` role. 2. Users assigned to the `Marketing_Analyst` role must be able to create new tables and views within the `marketing_sandbox` schema. Which of the following SQL command sequences correctly applies these requirements using Amazon Redshift Role-Based Access Control (RBAC)?

A.```sql CREATE ROLE Marketing_Analyst; GRANT ROLE ReadOnly_Base TO ROLE Marketing_Analyst; GRANT USAGE, CREATE ON SCHEMA marketing_sandbox TO ROLE Marketing_Analyst; ```

B.```sql CREATE ROLE Marketing_Analyst; GRANT ROLE Marketing_Analyst TO ROLE ReadOnly_Base; GRANT ALL ON SCHEMA marketing_sandbox TO ROLE Marketing_Analyst; ```

C.```sql CREATE ROLE Marketing_Analyst; GRANT ROLE ReadOnly_Base TO ROLE Marketing_Analyst; ``` Followed by attaching an IAM policy to the user with the `redshift:CreateSchema` action for the `marketing_sandbox` resource.

D.```sql CREATE ROLE Marketing_Analyst; GRANT USAGE, CREATE ON SCHEMA marketing_sandbox TO ROLE Marketing_Analyst; ``` Followed by configuring an S3 bucket policy to allow the Redshift cluster to write to the `marketing_sandbox/` prefix.

Show answer

Correct: A

Q2.A developer is troubleshooting an AWS Lambda function used for heavy data encryption. Monitoring in Amazon CloudWatch indicates that while there are no throttling errors, the `Duration` metric is consistently high, averaging $28$ seconds per invocation. The function is currently configured with $512$ MB of memory. Which of the following actions is the most effective way to reduce the execution duration for this compute-bound task?

A.Increase the function's memory allocation setting.

B.Increase the function's timeout limit to $60$ seconds.

C.Enable Provisioned Concurrency for the function's production alias.

D.Configure Reserved Concurrency to ensure dedicated capacity for the function.

Show answer

Correct: A

Q3.A database administrator needs to configure a group of analysts to access an Amazon Redshift cluster. The security policy mandates that no static database passwords be stored in the cluster or used for authentication. The analysts should instead use their existing AWS Identity and Access Management (IAM) identities. Which of the following configurations correctly achieves this requirement while allowing the cluster to automatically provision database accounts for new IAM users?

A.Grant `redshift:GetClusterCredentials` and `redshift:CreateClusterUser` permissions in the IAM policy, and use `PASSWORD 'DISABLE'` when creating or altering the database user.

B.Create database users with a permanent password and configure an AWS Lambda function to synchronize these passwords with IAM session credentials every 15 minutes.

C.Execute the `CREATE USER` command using the analyst's IAM Amazon Resource Name (ARN) as the password string to establish a cryptographic link.

D.Modify the cluster's VPC Security Group to include an inbound rule that filters access based on the specific IAM User ARN of each analyst.

Show answer

Correct: A

Q4.A data engineer is managing an AWS Glue ETL job that ingests daily logs from an Amazon S3 bucket into a data warehouse. Currently, the job reprocesses all files in the bucket during every run, leading to significant redundant data and increased costs. Additionally, the engineer needs to implement an automated alerting system that notifies the team immediately if data quality rules (such as null-value checks) fail during processing. Which combination of configurations and services will resolve these issues?

A.Enable AWS Glue Job Bookmarks for the ETL job; configure AWS Glue Data Quality to publish metrics to Amazon CloudWatch, and create a CloudWatch Alarm to trigger an Amazon SNS topic.

B.Enable S3 Versioning on the source bucket to track processed files; use AWS Glue Data Quality to write evaluation results to a dedicated S3 log, and use S3 Event Notifications to trigger an Amazon SNS topic.

C.Schedule an AWS Glue Crawler to run after every ETL job to perform deduplication in the target; set up AWS CloudTrail to monitor for data quality exceptions and send alerts via Amazon SNS.

D.Set the Job Bookmark parameter to 'Enable' to automatically detect updated rows in the source JDBC connection; use Amazon DataZone to visualize lineage and trigger immediate notifications for quality failures.

Show answer

Correct: A

Q5.A company is establishing a Disaster Recovery (DR) plan for its AWS infrastructure. They define their requirements as having a maximum data loss of 4 hours and a maximum service restoration time of 12 hours. Which of the following correctly explains the relationship between these objectives and the implementation using AWS Backup?

A.The Recovery Time Objective (RTO) is 4 hours and the Recovery Point Objective (RPO) is 12 hours. Using AWS Backup, they can achieve this by performing real-time synchronous data replication between regions.

B.The Recovery Point Objective (RPO) is 4 hours and the Recovery Time Objective (RTO) is 12 hours. AWS Backup can be used to manage the automated snapshots required for a "Backup and Restore" strategy to meet these targets.

C.The RPO refers to the 12-hour duration of the restoration process, while RTO refers to the 4-hour window of data loss. An "Active-Active" multi-region strategy is the most cost-effective way to meet these specific goals.

D.Both RTO and RPO are set to 12 hours in this scenario because AWS Backup automatically synchronizes data loss and restoration time to ensure high availability across all regions.

Show answer

Correct: B

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Flashcard Collections

680 flashcard decks for spaced-repetition study.

5 cards

Perform Data Ingestion (DEA-C01)

Sample:

**AWS DataSync**

5 cards

Streaming Data Ingestion (AWS DEA-C01)

Sample:

**Amazon Kinesis Data Streams (KDS)**

5 cards

Batch Data Ingestion in AWS

Sample:

**AWS Glue**

5 cards

Consume Data APIs (DEA-C01)

Sample:

**Amazon API Gateway**

5 cards

Implement appropriate configuration options for batch ingestion

Sample:

**Batch Ingestion**

5 cards

AWS Data Engineering: Schedulers and Orchestration

Sample:

**Amazon EventBridge (Scheduler)**

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