What about making a career with the DAS-C01 certification? Find out the free DAS-C01 sample questions, study guide PDF, and practice tests for a successful AWS Certified Data Analytics – Specialty career start.
These materials are proven and help the candidate to pass the exam on their first attempt.
What Is the AWS DAS-C01 Exam Structure?
The Data Analytics Specialty exam is a multiple-choice exam, with 65 questions. You need to get a 750 / 1000 mark to pass the Data Analytics Specialty exam. The AWS Certified Data Analytics – Specialty is suitable for candidates who are interested to learn more on the Specialty. The official price for the exam is $300 USD.
What Should Be Your Study Method for the DAS-C01 Exam Preparation?
Once you are determined to take the DAS-C01 exam, you must get ready with a study guide that combines all your necessary actions during the preparation and materials in one place.
Visit the Official Page for More Clarity:
Visiting the official page could feel a simple task, but a candidate must make sure, that he is not missing out any valuable information regarding the DAS-C01 exam. One must visit the official page at the beginning of their preparation to find out about the training and other online resources.
Work on the DAS-C01 Syllabus Topics:
The basic action of the DAS-C01 exam candidate should be going through the syllabus details and making out a chart to cover the syllabus topics on time. When it comes to covering the syllabus topics, books and online resources work best to ace the exam.
Success in the AWS DAS-C01 exam is highly dependent on grasping the syllabus topics from the core. The more grasp you have, the more is the chance to succeed quickly. Do not hurry to learn the exam topics; learn one at a time. You can also target covering two to three topics daily from the core, but make sure that you don’t move to the next topic, until you finish one.
Increase Your Productivity through Routine Making:
How to make your study schedule the most productive? If the aspirant follows a planned routine, he is going to experience a more productive preparation. You might be a student, or a working professional, choose your productive time according to your current work and plan out your productive hours. If you want to enhance your productivity during the preparation, you must set aside your study hours. Focusing on daily study would help to learn the syllabus topics in a better manner.
Develop Writing Habit:
If you develop the habit of writing essential points during the study, you can revise quickly through these notes. Your study routine should be such that you can properly utilize the study resources. Therefore, follow some proven steps to pass the exam.
When Is the Right Time to Explore DAS-C01 Sample Questions & Mock Tests?
- The potential AWS DAS-C01 certification candidates should not restrict themselves to learning the syllabus topics only. They can add more value to their preparation; if they explore different DAS-C01 sample questions through PDF format or regular format, their knowledge base could become stronger.
- The best time to explore sample questions is at the end of syllabus completion. Many valuable websites offer trusted and free sample questions for the DAS-C01 exam preparation.
- The preparation process is always better with these sample questions and practice test combinations. Many aspirants opt for the DAS-C01 dumps PDF materials and end up losing confidence in the exam hall during the actual exam preparation process.
- You can learn from the dumps materials, but working with DAS-C01 dumps PDF won’t help to assess your preparation level. Taking DAS-C01 mock exams would help the aspirant to get ready with the actual exam structure, and a candidate becomes an expert regarding time management through this process.
- Therefore, drop your focus from DAS-C01 exam related dumps PDF and get valuable insights through Data Analytics Specialty practice tests.
- It is always essential to get the real exam experience before you reach the exam hall.DAS-C01 practice tests, work best in this regard. Continuous practicing helps in getting familiar with the actual exam structure and makes your journey easy while taking the exam.
- VMExam.com offers one of the most valuable practice tests for self assessment. The time-based practice tests help an aspirant to gain ideas on their time management level and answering capacity. The candidates may face difficulty during initial attempts, but through gradual practice, their knowledge base, speed, and marks improve.
- Don’t lose hope, if you are scoring poor in your initial attempts, take it as learn only approach, and be determined to work on the lacking syllabus sections.
How Does the DAS-C01 Certification Benefit You?
The purpose of becoming the AWS Certified Data Analytics – Specialty is not only gaining knowledge. The aspirant earns the maximum advantage when they face any interview. With the Data Analytics Specialty certification on their resume, the credibility of the aspirant is proved to the employers over other non-certified peers. Having the Data Analytics Specialty certification, also helps the aspirants to negotiate well for new job roles or for salary hike.
Here Are Few DAS-C01 Sample Questions for Your Knowledge:
01. A company is providing analytics services to its marketing and human resources (HR) departments. The departments can only access the data through their business intelligence (BI) tools, which run Presto queries on an Amazon EMR cluster that uses the EMR File System (EMRFS).
The marketing data analyst must be granted access to the advertising table only. The HR data analyst must be granted access to the personnel table only.
Which approach will satisfy these requirements?
a) Create separate IAM roles for the marketing and HR users. Assign the roles with AWS Glue resourcebased policies to access their corresponding tables in the AWS Glue Data Catalog. Configure Presto to use the AWS Glue Data Catalog as the Apache Hive metastore.
b) Create the marketing and HR users in Apache Ranger. Create separate policies that allow access to the user’s corresponding table only. Configure Presto to use Apache Ranger and an external Apache Hive metastore running in Amazon RDS.
c) Create separate IAM roles for the marketing and HR users. Configure EMR to use IAM roles for EMRFS access. Create a separate bucket for the HR and marketing data. Assign appropriate permissions so the users will only see their corresponding datasets.
d) Create the marketing and HR users in Apache Ranger. Create separate policies that allows access to the user’s corresponding table only. Configure Presto to use Apache Ranger and the AWS Glue Data Catalog as the Apache Hive metastore.
02. A company ingests a large set of clickstream data in nested JSON format from different sources and stores it in Amazon S3.
Data analysts need to analyze this data in combination with data stored in an Amazon Redshift cluster. Data analysts want to build a cost-effective and automated solution for this need.
Which solution meets these requirements?
a) Use Apache Spark SQL on Amazon EMR to convert the clickstream data to a tabular format. Use the Amazon Redshift COPY command to load the data into the Amazon Redshift cluster.
b) Use AWS Lambda to convert the data to a tabular format and write it to Amazon S3. Use the Amazon Redshift COPY command to load the data into the Amazon Redshift cluster.
c) Use the Relationalize class in an AWS Glue ETL job to transform the data and write the data back to Amazon S3. Use Amazon Redshift Spectrum to create external tables and join with the internal tables.
d) Use the Amazon Redshift COPY command to move the clickstream data directly into new tables in the Amazon Redshift cluster.
03. A company needs to implement a near-real-time fraud prevention feature for its ecommerce site.
User and order details need to be delivered to an Amazon SageMaker endpoint to flag suspected fraud. The amount of input data needed for the inference could be as much as 1.5 MB.
Which solution meets the requirements with the LOWEST overall latency?
a) Create an Amazon Managed Streaming for Kafka cluster and ingest the data for each order into a topic. Use a Kafka consumer running on Amazon EC2 instances to read these messages and invoke the Amazon SageMaker endpoint.
b) Create an Amazon Kinesis Data Streams stream and ingest the data for each order into the stream. Create an AWS Lambda function to read these messages and invoke the Amazon SageMaker endpoint.
c) Create an Amazon Kinesis Data Firehose delivery stream and ingest the data for each order into the stream. Configure Kinesis Data Firehose to deliver the data to an Amazon S3 bucket. Trigger an AWS Lambda function with an S3 event notification to read the data and invoke the Amazon SageMaker endpoint.
d) Create an Amazon SNS topic and publish the data for each order to the topic. Subscribe the Amazon SageMaker endpoint to the SNS topic.
04. A publisher website captures user activity and sends clickstream data to Amazon Kinesis Data Streams.
The publisher wants to design a cost-effective solution to process the data to create a timeline of user activity within a session. The solution must be able to scale depending on the number of active sessions.
Which solution meets these requirements?
a) Include a variable in the clickstream data from the publisher website to maintain a counter for the number of active user sessions. Use a timestamp for the partition key for the stream. Configure the consumer application to read the data from the stream and change the number of processor threads based upon the counter. Deploy the consumer application on Amazon EC2 instances in an EC2 Auto Scaling group.
b) Include a variable in the clickstream to maintain a counter for each user action during their session. Use the action type as the partition key for the stream. Use the Kinesis Client Library (KCL) in the consumer application to retrieve the data from the stream and perform the processing. Configure the consumer application to read the data from the stream and change the number of processor threads based upon the counter. Deploy the consumer application on AWS Lambda.
c) Include a session identifier in the clickstream data from the publisher website and use as the partition key for the stream. Use the Kinesis Client Library (KCL) in the consumer application to retrieve the data from the stream and perform the processing. Deploy the consumer application on Amazon EC2 instances in an EC2 Auto Scaling group. Use an AWS Lambda function to reshard the stream based upon Amazon CloudWatch alarms.
d) Include a variable in the clickstream data from the publisher website to maintain a counter for the number of active user sessions. Use a timestamp for the partition key for the stream. Configure the consumer application to read the data from the stream and change the number of processor threads based upon the counter. Deploy the consumer application on AWS Lambda.
05. A company is currently using Amazon DynamoDB as the database for a user support application.
The company is developing a new version of the application that will store a PDF file for each support case ranging in size from 1–10 MB. The file should be retrievable whenever the case is accessed in the application.
How can the company store the file in the MOST cost-effective manner?
a) Store the file in Amazon DocumentDB and the document ID as an attribute in the DynamoDB table.
b) Store the file in Amazon S3 and the object key as an attribute in the DynamoDB table.
c) Split the file into smaller parts and store the parts as multiple items in a separate DynamoDB table.
d) Store the file as an attribute in the DynamoDB table using Base64 encoding.
