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DEA-C01: AWS Certified Data Engineer - Associate
The AWS Certified Data Analytics – Specialty (DEA-C01) exam is a crucial certification for anyone aiming to advance their career in data analytics. Our topic is your ultimate resource for DEA-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 DEA-C01 Practice Test?
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Real Exam Experience: Our practice test accurately replicates the format and difficulty of the actual AWS DEA-C01 exam, providing you with a realistic preparation experience.
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Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.
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Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.
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Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.
Key Features of DEA-C01 Practice Test:
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Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.
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Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
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Comprehensive Coverage: The practice test covers all key topics of the AWS DEA-C01 exam, including data collection, storage, processing, and visualization.
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Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.
Exam Number: DEA-C01
Exam Name: AWS Certified Data Analytics – Specialty
Length of Test: 130 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 shared AWS DEA-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
A company has a data warehouse that contains a table that is named Sales. The company stores the table in Amazon Redshift The table includes a column that is named city_name. The company wants to query the table to find all rows that have a city_name that starts with 'San' or 'El.'
Which SQL query will meet this requirement?
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A technology company currently uses Amazon Kinesis Data Streams to collect log data in real time. The company wants to use Amazon Redshift for downstream real-time queries and to enrich the log data.
Which solution will ingest data into Amazon Redshift with the LEAST operational overhead?
An airline company is collecting metrics about flight activities for analytics. The company is conducting a proof of concept (POC) test to show how analytics can provide insights that the company can use to increase on-time departures.
The POC test uses objects in Amazon S3 that contain the metrics in .csv format. The POC test uses Amazon Athena to query the data. The data is partitioned in the S3 bucket by date.
As the amount of data increases, the company wants to optimize the storage solution to improve query performance.
Which combination of solutions will meet these requirements? (Choose two.)
A company needs to set up a data catalog and metadata management for data sources that run in the AWS Cloud. The company will use the data catalog to maintain the metadata of all the objects that are in a set of data stores. The data stores include structured sources such as Amazon RDS and Amazon Redshift. The data stores also include semistructured sources such as JSON files and .xml files that are stored in Amazon S3.
The company needs a solution that will update the data catalog on a regular basis. The solution also must detect changes to the source metadata.
Which solution will meet these requirements with the LEAST operational overhead?
A company is using Amazon Redshift to build a data warehouse solution. The company is loading hundreds of tiles into a tact table that is in a Redshift cluster.
The company wants the data warehouse solution to achieve the greatest possible throughput. The solution must use cluster resources optimally when the company loads data into the tact table.
Which solution will meet these requirements?
A data engineer needs to onboard a new data producer into AWS. The data producer needs to migrate data products to AWS.
The data producer maintains many data pipelines that support a business application. Each pipeline must have service accounts and their corresponding credentials. The data engineer must establish a secure connection from the data producer's on-premises data center to AWS. The data engineer must not use the public internet to transfer data from an on-premises data center to AWS.
Which solution will meet these requirements?
A company needs to build a data lake in AWS. The company must provide row-level data access and column-level data access to specific teams. The teams will access the data by using Amazon Athena, Amazon Redshift Spectrum, and Apache Hive from Amazon EMR.
Which solution will meet these requirements with the LEAST operational overhead?
A company maintains a data warehouse in an on-premises Oracle database. The company wants to build a data lake on AWS. The company wants to load data warehouse tables into Amazon S3 and synchronize the tables with incremental data that arrives from the data warehouse every day.
Each table has a column that contains monotonically increasing values. The size of each table is less than 50 GB. The data warehouse tables are refreshed every night between 1 AM and 2 AM. A business intelligence team queries the tables between 10 AM and 8 PM every day.
Which solution will meet these requirements in the MOST operationally efficient way?
A company receives a daily file that contains customer data in .xls format. The company stores the file in Amazon S3. The daily file is approximately 2 GB in size.
A data engineer concatenates the column in the file that contains customer first names and the column that contains customer last names. The data engineer needs to determine the number of distinct customers in the file.
Which solution will meet this requirement with the LEAST operational effort?
A company has used an Amazon Redshift table that is named Orders for 6 months. The company performs weekly updates and deletes on the table. The table has an interleaved sort key on a column that contains AWS Regions.
The company wants to reclaim disk space so that the company will not run out of storage space. The company also wants to analyze the sort key column.
Which Amazon Redshift command will meet these requirements?
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Selling illegal goods, money scams etc.
Serious attack on a group.
Harassing an individual (including doxing)
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