AWS Certified Data Analytics – Specialty
Learn to design, build, and analyze large-scale data solutions on AWS using Kinesis, S3, DynamoDB, Redshift, EMR, SageMaker, QuickSight, and more.
About This Certification
Overview 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.
What Makes Our Program Different
| Feature | Our Program | Competitors |
|---|---|---|
| Exam Alignment | Fully mapped to AWS Data Analytics – Specialty blueprint | Partial exam focus |
| Analytics Scope | Batch, streaming & real-time analytics | Batch processing only |
| AWS Services Coverage | S3, Glue, Redshift, Athena, Kinesis, QuickSight | Limited service depth |
| Architecture Focus | Scalable, secure data pipelines | Isolated analytics tools |
| Hands-On Practice | End-to-end analytics use cases & labs | Concept-based learning |
| Exam Preparation | Scenario-driven mock exams & expert guidance | Basic question sets |
How Certification Transforms Careers
End-to-End Data Analytics on AWS
Learn to design and implement scalable data analytics solutions using AWS services for ingestion, processing, storage, and visualization.
Streaming & Batch Data Processing
Master real-time and batch analytics using services like Kinesis, Glue, and Athena to process large-scale data efficiently.
Data Security, Governance & Optimization
Apply encryption, access controls, monitoring, and cost-optimization strategies to ensure secure and compliant analytics workloads.
Specialty-Level Exam Readiness
Prepare with complex analytics scenarios, architecture-based questions, and deep exam strategies aligned with the AWS Data Analytics – Specialty certification.
- Define AWS data analytics services and how they interact with one another.
- Explain how AWS data analytics services fit into the data collection, storage, processing, and visualization lifecycle.
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 |
|
Eligibility/Pre-Requisite |
NIL |
|
Exam Language |
English, Japanese, Korean, and Simplified Chinese |
|
Exam Code |
DAS-C01 |
|
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) |
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.
- Collection (18%)
- Storage and Data Management (22%)
- Processing (24%)
- Analysis and Visualizations (18%)
- 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.
What Our RCDD Graduates Say
Ryan Peterson
Senior Data Engineer
“This training helped me design end-to-end analytics pipelines on AWS. The streaming and batch scenarios were extremely practical.”
Shreya Kulkarni
Cloud Data Architect
“The course explained how to choose the right AWS analytics services for different use cases. The exam preparation was very effective.”
Daniel Wong
Business Intelligence Engineer
“The real-world data pipeline examples and mock exams prepared me perfectly for the Specialty certification.”