DAS-C01: AWS Certified Data Analytics - Specialty
Amazon
The AWS Certified Data Analytics – Specialty (DAS-C01) exam is a crucial certification for anyone aiming to advance their career in data analytics on AWS. Our topic is your ultimate resource for DAS-C01 practice test shared by individuals who have successfully passed the exam. These practice tests provide real-world scenarios and invaluable insights to help you ace your preparation.
Why Use DAS-C01 Practice Test?
-
Real Exam Experience: Our practice test accurately replicates the format and difficulty of the actual AWS DAS-C01 exam, providing you with a realistic preparation experience.
-
Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.
-
Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.
-
Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.
Key Features of DAS-C01 Practice Test:
-
Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.
-
Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
-
Comprehensive Coverage: The practice test covers all key topics of the AWS DAS-C01 exam, including data collection, processing, analysis, and visualization.
-
Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.
Exam number: DAS-C01
Exam name: AWS Certified Data Analytics – Specialty
Length of test: 180 minutes
Exam format: Multiple-choice and multiple-response questions.
Exam language: English
Number of questions in the actual exam: Maximum of 65 questions
Passing score: 750/1000
Use the member-shared AWS DAS-C01 Practice Test to ensure you’re fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!
Related questions
An online gaming company is using an Amazon Kinesis Data Analytics SQL application with a Kinesis data stream as its source. The source sends three non-null fields to the application: player_id, score, and us_5_digit_zip_code. A data analyst has a .csv mapping file that maps a small number of us_5_digit_zip_code values to a territory code. The data analyst needs to include the territory code, if one exists, as an additional output of the Kinesis Data Analytics application.
How should the data analyst meet this requirement while minimizing costs?
A large company receives files from external parties in Amazon EC2 throughout the day. At the end of the day, the files are combined into a single file, compressed into a gzip file, and uploaded to Amazon S3. The total size of all the files is close to 100 GB daily. Once the files are uploaded to Amazon S3, an AWS Batch program executes a COPY command to load the files into an Amazon Redshift cluster. Which program modification will accelerate the COPY process?
Explanation:
Reference: https://docs.aws.amazon.com/redshift/latest/dg/t_splitting-data-files.html
A large university has adopted a strategic goal of increasing diversity among enrolled students. The data analytics team is creating a dashboard with data visualizations to enable stakeholders to view historical trends. All access must be authenticated using Microsoft Active Directory. All data in transit and at rest must be encrypted. Which solution meets these requirements?
Explanation:
Reference: https://docs.aws.amazon.com/quicksight/latest/user/WhatsNew.html
A company is using an AWS Lambda function to run Amazon Athena queries against a cross-account AWS Glue Data Catalog. A query returns the following error:
HIVE_METASTORE_ERROR
The error message states that the response payload size exceeds the maximum allowed size. The queried table is already partitioned, and the data is stored in an Amazon S3 bucket in the Apache Hive partition format. Which solution will resolve this error?
Explanation:
Reference: https://docs.aws.amazon.com/athena/latest/ug/tables-location-format.html
A company has an encrypted Amazon Redshift cluster. The company recently enabled Amazon Redshift audit logs and needs to ensure that the audit logs are also encrypted at rest. The logs are retained for 1 year. The auditor queries the logs once a month.
What is the MOST cost-effective way to meet these requirements?
A company needs to implement a near-real-time messaging system for hotel inventory. The messages are collected from 1,000 data sources and contain hotel inventory data. The data is then processed and distributed to 20 HTTP endpoint destinations. The range of data size for messages is 2-500 KB.
The messages must be delivered to each destination in order. The performance of a single destination HTTP endpointshould not impact the performance of the delivery for other destinations. Which solution meets these requirements with the LOWEST latency from message ingestion to delivery?
Explanation:
Reference: https://docs.aws.amazon.com/lambda/latest/dg/with-kinesis.html
A large marketing company needs to store all of its streaming logs and create near-real-time dashboards. The dashboards will be used to help the company make critical business decisions and must be highly available.
Which solution meets these requirements?
A company wants to research user turnover by analyzing the past 3 months of user activities. With millions of users, 1.5 TB of uncompressed data is generated each day. A 30-node Amazon Redshift cluster with 2.56 TB of solid state drive (SSD) storage for each node is required to meet the query performance goals.
The company wants to run an additional analysis on a year’s worth of historical data to examine trends indicating which features are most popular. This analysis will be done once a week. What is the MOST cost-effective solution?
A bank is building an Amazon S3 data lake. The bank wants a single data repository for customer data needs, such as personalized recommendations. The bank needs to use Amazon Kinesis Data Firehose to ingest customers' personal information, bank accounts, and transactions in near real time from a transactional relational database.
All personally identifiable information (Pll) that is stored in the S3 bucket must be masked. The bank has enabled versioning for the S3 bucket.
Which solution will meet these requirements?
A marketing company has an application that stores event data in an Amazon RDS database. The company is replicating this data to Amazon Redshift for reporting and business intelligence (BI) purposes. New event data is continuously generated and ingested into the RDS database throughout the day and captured by a change data capture (CDC) replication task in AWS Database Migration Service (AWS DMS). The company requires that the new data be replicated to Amazon Redshift in near-real time.
Which solution meets these requirements?
Question