Amazon DAS-C01 Dumps
AWS Certified Data Analytics - Specialty
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Amazon DAS-C01 Dumps
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Presentation of DAS-C01 Certification
This guide gives data and assets to get ready for the AWS Certified Data Analytics - Specialty confirmation (in the past known as AWS Certified Big Data – Specialty). It additionally gives you a few hints and proposals dependent on the encounters of other enormous information and examination engineers who are confirmed in AWS.
Who’s For AWS Certified Data Analytics Specialty Certification?
This certification is planned and suggested for those who have the experience to represent huge information phases in AWS for examination handling, and comprehend the wide scope of directions offered by this innovation. Applicants are trusted to comprehend and apply best practices to tackles circumstances in a unique way. This certification is suggested that you are an information engineer with experience executing enormous information courses with AWS and identify the ideas driving advanced techniques like HDFS, Spark, Hadoop, etc.
Course structure
While AWS certified data analytics specialty exam preparation would have to assess the following skills...
- Collection.
- Storage and Data Management.
- Processing.
- Analysis and Visualization.
- Security.
Exam Format
|
Modified exam name |
AWS Certified Data Analytics - Specialty |
Exam language |
English, Japanese, Korean, & Simplified Chinese |
|
Exam code |
DAS-C01 |
Exam format |
MCQs and MCQs questions |
|
Exam type |
specialty |
Numb of questions |
65 questions |
|
Passing score |
100-1000 |
Exam fee |
$300 |
|
Mini passing score |
750 |
Exam duration |
170 / 180 minutes |
|
validity |
3 years |
Existing name |
AWS Certified Big Data Specialty |
How’s This Certification Is Helpful?
This certification is helpful for some, reasons, including: Showing your experience applying the AWS certification exam in taking care of issues that can include in examination with large information projects. Expanding your vision in all subjects of these inventions. Understanding the way that the business will follow in the coming years and how to recognize the ability to expanding acknowledgment in the business to looking for new position openings because of the demand for experts in this field.
How To Apply For Each Phase As Indicated By Basics Limitations?
For this accreditation, you just need to take the AWS Certified Data Analytics - Specialty test. This test will review your comprehension of each phase of the study and large informative endeavor, limiting issues and streamlining expenses, and computerization in execution.
You'll additionally be tried on the best way to create AI models for use of formation situations. Anyone can take this certification without having another as essential. However, on the off chance that you have never taken a confirmation test, it is suggested that you start with a not complex test (Associate, for instance) so you comprehend the elements of the test.
The Certification Track is Based on These Domains:
Break down and study the stuff of the AWS courses. Here is the AWS Certified Data Analytics Specialty DAS-C01 Exam Guide further to discover the subtopics in every area as follows.
Domain 1: Data Collection For Analytics
The principal significant area for AWS guaranteed information for exam preparation represents practically 18% of the complete inquiries in the test and the subtopics are as per the following.
- For the collection tool Selection of ideal functioning features.
- For assemble the system for dealing with frequency, volume, and source of data.
- Custom-made for key data characteristics such as density, order, and format.
Domain 2: Storage and Data Management
The second significant domain in the AWS information is one of the significant parts of the test as it represents practically 22% of the all-out inquiries. The subtopics in this area are as per the following.
- For analytics, Range of operational features of a storage solution.
- For patterns is includes data access and recovery.
- For proper data arrangement, format, schema, and structure topics are involved.
- For cataloging data and metadata management Selection of the ideal system.
- Usage patterns and business requirements for finding an explanation of the data lifecycle on the grounds.
Domain 3: Data Processing
The third area for AWS confirmed information examination is the most significant in the AWS information examination. Which is practically 24% of the all-out inquiries in the test. The subtopics canvassed in this area as per the following.
- For data processing solutions launching ideal requirements.
- For analysis, planning solutions for transformation and preparation of data.
- For data processing solutions designed Automation and ensuring operations.
Domain 4: Data Analysis and Visualization
This area represents practically 18% of the absolute inquiries in the test. The subtopics tested in this area are as per the following
- For analysis and visualization solution, establishing the operational characteristics.
- The solution in a specific scenario for the Selection of ideal data analysis.
- For a specific scenario Selection of ideal data visualization solution.
Domain 5: Data Security
The last area is in the AWS examination information security. This area represents 18% of the all-out inquiries in the test. The subtopics in this area are as per the following.
- For validation and authorization, Selection of ideal mechanisms.
- Encryption techniques with Implementation of data protection.
- For ensuring data control, submission, and Implementation
The serious reflection on the areas covered in the AWS information examination specialty test assists competitors with correctly taking their arrangements. Generally, all applicants need to learn the exact points of each domain that they need to read for the test.
Abilities Measured
The abilities that will be estimated during the test are changed, however, can comprise:
- Gathering information in group, constant, and close real-time forms
- Capacity and information the executives
- Information preparation, both at the record and database levels (SQL and No SQL).
- Robotizing forms for all the previously mentioned undertakings while protecting the security of data, keeping up great practices, and guaranteeing high accessibility of frameworks
- Data investigation and perception
- Executing machine and profound learning models with AWS devices
- Choosing the best devices for each utilization case as indicated by the limitations and favorable circumstances of everyone.
At the end of the day, you should be able to comprehend and rehearse for the duration of the existing pattern of an examination venture.
Remuneration and Employment Outlook
The Advantages of Getting This Affirmation Include:
Having the option to take part in tasks of high specialized unpredictability identified with issues of huge information preparing. As per Zip Recruiter, the yearly pay of somebody with the AWS Certified Data Analytics - Specialty testament on normal contacts the US $, at least 123,807 with extra experience and accreditations.
Acknowledgment From The Business and Your Associates
Direct advantages from AWS, for example, limits on training tests or different affirmations notwithstanding identifications that you can use in your introductions, resumes, or different occasions where you need to demonstrate your experience. Capability for better occupations; the confirmation is legitimate anyplace on the planet.
Conclusion
At long last, some guidance for your confirmation plan for the AWS Certified Data Analytics - Specialty accreditation. It’s acceptable to become familiar with the innovations, yet you ought to likewise concentrate on how they interface with one another on a worldwide stage. Accomplishing this confirmation will mean making a firm stride in your expert vocation, any place you need to create. You ought to likewise consider the great practices that AWS proposes for the utilization of its innovations, and comprehend different use cases for it. In particular, if you breeze through this test you ought to praise yourself. Anyhow being exceptionally esteemed in the business, this accomplishment requires a great deal of exertion on your part that you ought to perceive. I wish you a great deal of progress on your way to the AWS Data Analytics - Specialty certification!
Frequently Asked Questions
Analysis (17%);
Visualization (12%);
Data Security (20%);
Collection (17%);
Storage (17%);
Processing (17%)
2. They understand the architecture that supports large scale frameworks like Hadoop.
3. Knowing Hadoop clusters for setting and running them.
4. Creating and analyzing data solutions by connecting with various developers and business experts.
1. It will help you enhance your knowledge of cloud platform services.
2. There are various levels in AWS Certifications starting from beginner to associate level which will make you capable to get a good and secure job in the market.
3. Being certified as an AWS professional will open more doors for you so you do not need to stick on the same role. There are many other opportunities for which you can apply.
4. This certification requires commitment and hard work. If you are focused on AWS then there is nothing that can stop you to become Professional.
AWS DAS-C01 Sample Questions
Question # 1
An insurance company has raw data in JSON format that is sent without a predefined schedule through an AmazonKinesis Data Firehose delivery stream to an Amazon S3 bucket. An AWS Glue crawler is scheduled to run every 8 hours to update the schema in the data catalog of the tables stored in the S3 bucket. Data analysts analyze the data using Apache Spark SQL on Amazon EMR set up with AWS Glue Data Catalog as the metastore. Data analysts say that, occasionally, the data they receive is stale. A data engineer needs to provide access to the most up-to-date data.Which solution meets these requirements?
A. Create an external schema based on the AWS Glue Data Catalog on the existing Amazon Redshift cluster to query new data in Amazon S3 with Amazon Redshift Spectrum.
B. Use Amazon CloudWatch Events with the rate (1 hour) expression to execute the AWS Glue crawler every hour.
C. Using the AWS CLI, modify the execution schedule of the AWS Glue crawler from 8 hours to 1 minute.
D. Run the AWS Glue crawler from an AWS Lambda function triggered by an S3:ObjectCreated:* event notification on the S3 bucket.
ANSWER : A
Question # 2
A media content company has a streaming playback application. The company wants to collect and analyze the data to provide near-real-time feedback on playback issues. The company needs to consume this data and return results within 30 seconds according to the service-level agreement (SLA). The company needs the consumer to identify playback issues, such as quality during a specified timeframe.The data will be emitted JSON and may change schemas overtime.Which solution will allow the company to collect data for processing while meeting these requirements?
A. Send the data to Amazon Kinesis Data Firehose with delivery to Amazon S3. Configure an S3 event trigger an AWS Lambda function to process the data. The Lambda function will consume the data and process it to identify potentialplayback issues. Persist the raw data to Amazon S3.
B. Send the data to Amazon Managed Streaming for Kafka and configure an Amazon Kinesis Analytics for Java application as the consumer. The application will consume the data and process it to identify potential playback issues. Persist the raw data to Amazon DynamoDB.
C. Send the data to Amazon Kinesis Data Firehose with delivery to Amazon S3. Configure Amazon S3 to trigger an event for AWS Lambda to process. The Lambda function will consume the data and process it to identify potential playback issues. Persist the raw data to Amazon DynamoDB.
D. Send the data to Amazon Kinesis Data Streams and configure an Amazon Kinesis Analytics for Java application as the consumer. The application will consume the data and process it to identify potential playback issues. Persist the raw data to Amazon S3.
ANSWER : B
Question # 3
A company is migrating its existing on-premises ETL jobs to Amazon EMR. The code consists of a series of jobs written in Java. The company needs to reduce overhead for the system administrators without changing the underlying code. Due to the sensitivity of the data, compliance requires that the company use root device volume encryption on all nodes in the cluster. Corporate standards require that environments be provisioned though AWS CloudFormation when possible.Which solution satisfies these requirements?
A. Install open-source Hadoop on Amazon EC2 instances with encrypted root device volumes. Configure the cluster in the CloudFormation template.
B. Use a CloudFormation template to launch an EMR cluster. In the configuration section of the cluster,define a bootstrap action to enable TLS.
C. Create a custom AMI with encrypted root device volumes. Configure Amazon EMR to use the custom AMI using the CustomAmild property in the CloudFormation template.
D. Use a CloudFormation template to launch an EMR cluster. In the configuration section of the cluster, define a bootstrap action to encrypt the root device volume of every node.
ANSWER : C
Question # 4
A retail company is building its data warehouse solution using Amazon Redshift. As a part of that effort, the company is loading hundreds of files into the fact table created in its Amazon Redshift cluster. The company wants the solution to achieve the highest throughput and optimally use cluster resources when loading data into the company’s fact table.How should the company meet these requirements?
A. Use multiple COPY commands to load the data into the Amazon Redshift cluster.
B. Use S3DistCp to load multiple files into the Hadoop Distributed File System (HDFS) and use an HDFS connector to ingest the data into the Amazon Redshift cluster.
C. Use LOAD commands equal to the number of Amazon Redshift cluster nodes and load the data in parallel into each node.
D. Use a single COPY command to load the data into the Amazon Redshift cluster.
ANSWER : B
Question # 5
A company wants to improve the data load time of a sales data dashboard. Data has been collected as .csv files and stored within an Amazon S3 bucket that is partitioned by date. The data is then loaded to an Amazon Redshift datawarehouse for frequent analysis. The data volume is up to 500 GB per day.Which solution will improve the data loading performance?
A. Compress .csv files and use an INSERT statement to ingest data into Amazon Redshift.
B. Split large .csv files, then use a COPY command to load data into Amazon Redshift.
C. Use Amazon Kinesis Data Firehose to ingest data into Amazon Redshift.
D. Load the .csv files in an unsorted key order and vacuum the table in Amazon Redshift.
ANSWER : C