AWS Certified Data Analytics – Specialty” is a high-level certification provided by Amazon AWS. This credential recognizes people working in the field of data analytics. To obtain this certification, applicants must pass an exam administered by Amazon AWS. In this section, go through the test and how to prepare for it in order to obtain this industry-recognized certificate.

AWS's data analytics ecosystem provides a bewildering number of tools and services. Here are a few examples of the topics cover in depth:

  • AWS Kinesis is used to stream enormous amounts of data.
  • Message Queuing using Simple Queue Service (SQS)
  • Managing the onslaught of data from the Internet of Things (IOT)
  • Using the AWS Database Migration Service to migrate from modest to large amounts of data (DMS)
  • Using the Simple Storage Service to store enormous data lakes (S3)
  • Using DynamoDB to optimize transactional queries
  • Using AWS Lambda to connect your large data systems
  • AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation make unstructured data queryable.
  • Elastic MapReduce can process data at any scale, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume.
  • Deep Learning, MXNet, and Tensorflow are being used to apply neural networks at a vast scale.
  • Using Amazon SageMaker to apply complex machine learning algorithms at scale
  • Kinesis Analytics is used to analyze streaming data in real time.
  • Amazon OpenSearch (previously Elasticsearch) Service for searching and analyzing petabyte-scale data
  • Using Amazon Athena to query S3 data lakes
  • Redshift and Redshift Spectrum are used to host large-scale data warehouses.
  • Using the Relational Database Service (RDS) and Aurora, you may integrate smaller data with your large data.
  • QuickSight allows you to interactively visualize your data.
  • Encryption, KMS, HSM, IAM, Cognito, STS, and other security features keep your data safe.

Exam Format and Information

Exam Name 

AWS Certified Data Analytics Specialty 

Exam Duration 

180 minutes

Exam Type 

Data Analytics



Exam Language 

English, Japanese, Korean, and Simplified Chinese

Exam Code 


Exam Format 

Multiple Choice and Multi-Response Questions

Number of Questions 

65 Questions

Exam Fee 

$300 USD

Pass Score 

750 (on a scale of 1-1000)

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Exam Topics

AWS assesses many sorts of abilities with a person through the test to offer this certificate. The primary focus is on determining the candidate’s ability to design various AWS-based data analytics services that can be integrated into the data lifecycle of collection, storage, processing, and visualization. It also evaluates the applicants’ comprehension of how various AWS data analytics services interface with one another.


The test questions are divided into the following domains. The weightage of each domain is assigned to each of them.

  1. Collection (18%)
  2. Storage and Data Management (22%)
  3. Processing (24%)
  4. Analysis and Visualizations (18%)
  5. Security (18%)

The inquiries in the preceding domains are largely about AWS services. For example, questions in the storage and data management area will be about various AWS products and services for storage and data management, as well as how to apply them in various use cases.

  • Determine the collecting system’s operating characteristics.
  • Select a data collecting system that can manage the data’s frequency, volume, and source.
  • Choose a collection system that addresses essential data attributes such as order, format, and compression.
  • Determine the operational features of an analytics storage solution.
  • Analyze data access and retrieval patterns
  • Choose a suitable data layout, schema, structure, and format.
  • Establish a data lifecycle based on consumption patterns and business needs.
  • Select a suitable system for classifying data and maintaining metadata.
  • Determine the requirements for an effective data processing solution.
  • Create a solution for data transformation and preparation for analysis.
  • Automate and deploy a data processing solution
  • Determine the operational features of a solution for analysis and visualization.
  • Choose the best data analysis solution for a specific case.
  • Choose the best data visualization solution for a specific case.
  • Determine the best authentication and authorization techniques.
  • Use data security and encryption mechanisms.
  • Implement data governance and compliance safeguards


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    Frequently Asked Questions

    This test is accessible in the following languages: English, Japanese, Korean, and Simplified Chinese.

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