• Exam Code: DAS-C01
  • Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01日本語版)
  • Certification Provider: Amazon
  • Corresponding Certification:AWS Certified Data Analytics
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You can read the AWS Certified Data Analytics Specialty Exam Requirements

There is no prerequisites for AWS Certified Data Analytics - Specialty exam.

Reference: https://d1.awsstatic.com/training-and-certification/docs-data-analytics-specialty/AWS-Certified-Data-Analytics-Specialty-Exam-Guide_v1.0_08-23-2019_FINAL.pdf

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Career Opportunities

Amazon AWS Certified Data Analytics – Specialty is no doubt a highly valued and industry recognized certification. It will speak on your behalf concerning validation of your expertise in designing, building, maintaining, and securing analytics solutions efficiently. This makes you an asset that most organizations are looking for, thus positioning you for better positions. You will be a highly qualified professional for the titles, such as a Data Scientist, a Solutions Architect, a Data Analysts, and a Data Platform Engineer, among others. As for the salary, the potential candidates are expected to earn $90,000-$150,000 per year. The amount of the payment will depend on your job role, related tasks, working experience, and other criteria.

2. Data Analytics Fundamentals Digital Course by AWS Training

This is a digital training that is self-paced and allows candidates to learn more about planning data analysis solutions & processes. This course walks individuals through the five subjects of the AWS Certified Data Analytics exam, covering basic architecture, potential use cases, and value prepositions, among the rest. It provides detailed information about the AWS services and will the most beneficial for data scientists, data analysts, and data architects who want to enhance their skills in AWS solutions and their implementation. Some of the skills one will master during this program include the following:

  • Explain AWS services and their work to visualize data
  • Classifying the characteristics of data analysis solutions
  • The use of Amazon Kinesis for processing streaming data
  • Knowledge of the types of data such as structured, unstructured, and semi-structured
  • Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
  • Discovering different concepts of data schemas and defining how data and information is stored in the metastores
  • Analyzing the characteristics of the storage system for source data
  • Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions

It is recommended to take this course after experiencing database concepts. The applicant should have a basic understanding of data storage, analytics, and processing. Sessions are offered in Japanese, Portuguese, Spanish, Indonesian, Thai, Vietnamese, Korean, Simplified Chinese, and English.

Understanding useful and specialized parts of AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam Migration Planning

The accompanying will be dicussed in AMAZON DAS C01 exam dumps:

  • COPY command manages coded data
  • Grasp Redshift views to manage access to data
  • Glue locally supports RDS, and databases on EC2 occurrences
  • Learn and grasp Glue as a fully-managed, extract, and load service
  • Learn Redshift Advanced materials like Workload Management, Distribution Style, Sort key
  • COPY command can utilize manifest files to load data
  • COPY command enables parallelism, and functions better than multiple COPY commands
  • Redshift
  • Automate and operationalize a data processing solution
  • Compose a solution for changing and preparing data for analysis
  • Elasticsearch
  • Elasticsearch can be utilised to analysis and assist visualization using Kibana which can be real time
  • Glue supports Job Bookmark as it helps in tracking data that has been treated during a previous run.
  • Glue crawls data and aids in identifying and creating schema in Glue Data Catalog
  • DAS-C01 incorporates Glue in depth. This is a new service as compared to Big Data -Specialty test
  • Define suitable data processing solution needs
  • Learn Redshift in detail
  • Know Redshift Best Practices concerning choice of Distribution style, Sort key, importing/exporting data
  • Identify ElasticSearch is a search service that maintains indexing, full text search, faceting etc
  • Grasp Redshift Spectrum which enables querying data in S3

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Amazon DAS-C01日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Analysis and Visualization- Use AWS analytics services (e.g., Athena, Redshift, QuickSight)
- Design and implement analytics and business intelligence solutions
Topic 2: Security and Governance- Apply IAM policies and data access controls
- Implement data security and encryption strategies
Topic 3: Processing- Select appropriate compute services for batch and stream processing (e.g., EMR, Glue, Lambda)
- Design and implement data processing pipelines
Topic 4: Storage and Data Management- Design scalable and durable data storage solutions
- Optimize data storage formats and partitioning strategies
Topic 5: Data Collection and Ingestion- Design and implement data ingestion mechanisms
- Select appropriate AWS services for data ingestion (e.g., Kinesis, Firehose, SQS)

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