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AWS Cloud Practitioner

The AWS Cloud Practitioner exam validates foundational cloud knowledge, focusing on AWS services, cloud concepts, security, and pricing.

AWS Certified Data Engineer - Associate

The AWS Certified Data Engineer – Associate validates expertise in designing and managing scalable data solutions on AWS.

AWS Certified Machine Learning – Specialty

The AWS Certified Machine Learning – Specialty exam validates expertise in designing, training, and deploying machine learning models on AWS.

AWS Developer - Associate

The AWS Developer – Associate certification validates expertise in building, deploying, and debugging cloud applications on AWS.

AWS Solution Architect - Associate

This certification validates the ability to design and implement distributed systems on AWS..

AWS SysOps Administrator

This certification validates the ability to deploy, manage, and operate workloads on AWS..

Amazon Web Services

Amazon Web Services (AWS) is a leading cloud platform offering scalable solutions for computing, storage, AI, and networking. It provides robust tools for businesses of all sizes with global infrastructure and strong security.

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Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud services for computing, storage, AI, and networking. It offers scalable, secure solutions and integrates seamlessly with Google's tools and data analytics.

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Azure Cloud

Microsoft Azure is a cloud platform offering services like computing, storage, AI, and networking to build, deploy, and manage applications globally. It supports hybrid solutions, ensures scalability, and integrates seamlessly with Microsoft tools.

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AWS Certified Data Engineer - Associate

A data engineer needs to build an extract, transform, and load (ETL) job. The ETL job will process daily incoming .CSV files that users upload to an Amazon S3 bucket. The size of each S3 object is less than 100 MB. Which solution will meet these requirements MOST cost- effectively?

AWS Certified Data Engineer - Associate

A data engineer needs to create an AWS Lambda function that converts the format of data from .CSV to Apache Parquet. The Lambda function must run only if a user uploads a .CSV file to an Amazon S3 bucket. Which solution will meet these requirements with the LEAST operational overhead?

AWS Certified Data Engineer - Associate

A data engineer needs to use AWS Step Functions to design an orchestration workflow. The workflow must parallel process a large collection of data files and apply a specific transformation to each file. Which Step Functions state should the data engineer use to meet these requirements?

AWS Certified Data Engineer - Associate

A company is migrating a legacy application to an Amazon S3 based data lake. A data engineer reviewed data that is associated with the legacy application. The data engineer found that the legacy data contained some duplicate information. The data engineer must identify and remove duplicate information from the legacy application data. Which solution will meet these requirements with the LEAST operational overhead?

AWS Certified Data Engineer - Associate

A company uses an on-premises Microsoft SQL Server database to store financial transaction data. The company migrates the transaction data from the on-premises database to AWS at the end of each month. The company has noticed that the cost to migrate data from the on- premises database to an Amazon RDS for SQL Server database has increased recently. The company requires a cost-effective solution to migrate the data to AWS. The solution must cause minimal downtown for the applications that access the database. Which AWS service should the company use to meet these requirements?

AWS Certified Data Engineer - Associate

A data engineer must manage the ingestion of real-time streaming data into AWS. The data engineer wants to perform real-time analytics on the incoming streaming data by using time- based aggregations over a window of up to 30 minutes. The data engineer needs a solution that is highly fault tolerant. Which solution will meet these requirements with the LEAST operational overhead?

AWS Certified Data Engineer - Associate

A company receives a daily file that contains customer data in .xls format. The company stores the file in Amazon S3. The daily file is approximately 2 GB in size. A data engineer concatenates the column in the file that contains customer first names and the column that contains customer last names. The data engineer needs to determine the number of distinct customers in the file. Which solution will meet this requirement with the LEAST operational effort?

AWS Certified Data Engineer - Associate

A data engineer maintains custom Python scripts that perform a data formatting process that many AWS Lambda functions use. When the data engineer needs to modify the Python scripts, the data engineer must manually update all the Lambda functions. The data engineer requires a less manual way to update the Lambda functions. Which solution will meet this requirement?

AWS Certified Data Engineer - Associate

A data engineer must build an extract, transform, and load (ETL) pipeline to process and load data from 10 source systems into 10 tables that are in an Amazon Redshift database. All the source systems generate .CSV, JSON, or Apache Parquet files every 15 minutes. The source systems all deliver files into one Amazon S3 bucket. The file sizes range from 10 MB to 20 GB. The ETL pipeline must function correctly despite changes to the data schema. Which data pipeline solutions will meet these requirements? (Choose two.)

AWS Certified Data Engineer - Associate

A data engineer needs to securely transfer 5 TB of data from an on-premises data center to an Amazon S3 bucket. Approximately 5% of the data changes every day. Updates to the data need to be regularly proliferated to the S3 bucket. The data includes files that are in multiple formats. The data engineer needs to automate the transfer process and must schedule the process to run periodically. Which AWS service should the data engineer use to transfer the data in the MOST operationally efficient way?

AWS Certified Data Engineer - Associate

A company is developing an application that runs on Amazon EC2 instances. Currently, the data that the application generates is temporary. However, the company needs to persist the data, even if the EC2 instances are terminated. A data engineer must launch new EC2 instances from an Amazon Machine Image (AMI) and configure the instances to preserve the data. Which solution will meet this requirement?

AWS Certified Data Engineer - Associate

A company needs to partition the Amazon S3 storage that the company uses for a data lake. The partitioning will use a path of the S3 object keys in the following format: s3://bucket/prefix/year=2023/month=01/day=01 A data engineer must ensure that the AWS Glue Data Catalog synchronizes with the S3 storage when the company adds new partitions to the bucket. Which solution will meet these requirements with the LEAST latency?