Get new challenges and more knowledge!!

The AWS Certified Data Analytics Specialty ( DAS-C01 ) exam is intended for individuals who perform in a data analytics-focused role. This exam validates an examinee’s comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. Take your career and salary to the next level with an AWS Certified Data Analytics Specialty certification!

Earn an industry-recognized credential from AWS that validates your expertise in AWS data lakes and analytics services. Build credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. Show you have breadth and depth in delivering insight from data.

The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

  • Streaming massive data with AWS Kinesis

  • Queuing messages with Simple Queue Service (SQS)

  • Wrangling the explosion data from the Internet of Things (IOT)

  • Transitioning from small to big data with the AWS Database Migration Service (DMS)

  • Storing massive data lakes with the Simple Storage Service (S3)

  • Optimizing transactional queries with DynamoDB

  • Tying your big data systems together with AWS Lambda

  • Making unstructured data query-able with AWS Glue

  • Processing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume

  • Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow

  • Applying advanced machine learning algorithms at scale with Amazon SageMaker

  • Analyzing streaming data in real-time with Kinesis Analytics

  • Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service

  • Querying S3 data lakes with Amazon Athena

  • Hosting massive-scale data warehouses with Redshift and Redshift Spectrum

  • Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora

  • Visualizing your data interactively with Quicksight

  • Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more


Abilities Validated by the Certification

  • Define AWS data analytics services and understand how they integrate with each other

  • Explain how AWS data analytics services fit in the data life cycle of collection, storage, processing, and visualization

The main characteristics of the Amazon AWS Certified Data Analytics – Specialty exam are:

  • Amazon AWS Certified Data Analytics – Specialty Exam Guide:

    • Total Questions: 65

    • Passing Score: 750

    • Approximately 75% marks are required to pass the exam.

    • Time: 180 minutes

IMPORTANT NOTE

These AWS Certified Data Analytics Specialty practice exams have a passing score of 75% but we highly encourage you to repeat taking these exams again and again until you consistently reach a score of 85% or higher on each exam.

Remember that using this product alone does not guarantee you will pass the exam as you still need to do your own readings and hands-on exercises in AWS. Nonetheless, these Data Analytics practice exams provide a comprehensive assessment on which knowledge area you need improvement on and even help you achieve a higher score!

Amazon AWS Certified Data Analytics – Specialty Exam

Get new challenges and more knowledge!!»

¿Te gustaron los cupones? Tal vez también te guste este otro contenido:


Este curso se encuentra de manera gratuita gracias a un cupón que podrás encontrar aquí abajo.

Toma en cuenta que este tipo de cupones duran por muy poco tiempo.

Si el cupón ya ha expirado podrás adquirir el curso de manera habitual.

Este tipo de cupones duran muy pocas horas, e incluso solo minutos después de haber sido publicados.

Debido a una actualización de Udemy ahora solo existen 1,000 cupones disponibles, NO nos hacemos responsables si el cupón ya venció.

Para obtener el curso con su cupón usa este enlace.

Deja una respuesta

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *

Deja una respuesta

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *