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[General] DEA-C01 Latest Practice Questions, Composite Test DEA-C01 Price

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【General】 DEA-C01 Latest Practice Questions, Composite Test DEA-C01 Price

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DOWNLOAD the newest TopExamCollection DEA-C01 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1WPzzKeh9TxNm1pJgoDdL6d_8KVvFUyQb
Desktop-based DEA-C01 practice exam software is the first format that TopExamCollection provides to its customers. It helps track the progress of the candidate from beginning to end and provides a progress report that is easily accessible. This Snowflake DEA-C01 Practice Questions is customizable and mimics the real DEA-C01 exam, with the same format, and is easy to use on Windows-based computers. The product support staff is available to assist with any issues that may arise.
Snowflake DEA-C01 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.
Topic 2
  • Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.
Topic 3
  • Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.
Topic 4
  • Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.
Topic 5
  • Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q194-Q199):NEW QUESTION # 194
A transportation company wants to track vehicle movements by capturing geolocation records.
The records are 10 bytes in size. The company receives up to 10.000 records every second. Data transmission delays of a few minutes are acceptable because of unreliable network conditions.
The transportation company wants to use Amazon Kinesis Data Streams to ingest the geolocation data. The company needs a reliable mechanism to send data to Kinesis Data Streams. The company needs to maximize the throughput efficiency of the Kinesis shards.
Which solution will meet these requirements in the MOST operationally efficient way?
  • A. Amazon Kinesis Data Firehose
  • B. Kinesis SDK
  • C. Kinesis Agent
  • D. Kinesis Producer Library (KPL)
Answer: D

NEW QUESTION # 195
A company stores CSV files in an Amazon S3 bucket. A data engineer needs to process the data in the CSV files and store the processed data in a new S3 bucket.
The process needs to rename a column, remove specific columns, ignore the second row of each file, create a new column based on the values of the first row of the data, and filter the results by a numeric value of a column.
Which solution will meet these requirements with the LEAST development effort?
  • A. Use an AWS Glue workflow to build a set of jobs to crawl and transform the CSV files.
  • B. Use AWS Glue Python jobs to read and transform the CSV files.
  • C. Use an AWS Glue custom crawler to read and transform the CSV files.
  • D. Use AWS Glue DataBrew recipes to read and transform the CSV files.
Answer: D
Explanation:
AWS Glue DataBrew is a visual data preparation tool that allows you to clean, normalize, and transform data without writing code. Using DataBrew recipes, you can easily perform transformations such as renaming columns, removing specific columns, ignoring certain rows, creating new columns, and filtering data based on column values. This solution requires the least development effort because it provides a no-code/low-code interface for performing these tasks.
While AWS Glue Python jobs can handle these transformations, they would require writing custom code, which involves more development effort compared to using DataBrew.
AWS Glue crawlers are used for cataloging data and are not suitable for performing complex transformations like ignoring rows, renaming columns, or creating new columns.
Using an AWS Glue workflow to build a set of jobs to crawl and transform the CSV files adds unnecessary complexity. You would need to orchestrate multiple jobs and workflows, which requires more setup and development compared to using DataBrew for the transformations.

NEW QUESTION # 196
Jackie, a Data engineer advised to his data team members about one of the Role highlighting fol-lows points:
1. Avoid Using the <?> Role for Automated Scripts
2. Avoid Using the <?> Role to Create Objects
Which System defined or Custom Role She is mentioning?
  • A. SYSADMIN
  • B. ACCOUNTADMIN
  • C. USERADMIN
  • D. SECURITYADMIN
  • E. CUSTOM Role
Answer: B

NEW QUESTION # 197
A company has five offices in different AWS Regions. Each office has its own human resources (HR) department that uses a unique IAM role. The company stores employee records in a data lake that is based on Amazon S3 storage.
A data engineering team needs to limit access to the records. Each HR department should be able to access records for only employees who are within the HR department's Region.
Which combination of steps should the data engineering team take to meet this requirement with the LEAST operational overhead? (Choose two.)
  • A. Register the S3 path as an AWS Lake Formation location.
  • B. Use data filters for each Region to register the S3 paths as data locations.
  • C. Create a separate S3 bucket for each Region. Configure an IAM policy to allow S3 access.Restrict access based on Region.
  • D. Enable fine-grained access control in AWS Lake Formation. Add a data filter for each Region.
  • E. Modify the IAM roles of the HR departments to add a data filter for each department's Region.
Answer: A,D
Explanation:
https://docs.aws.amazon.com/lake ... -filters-about.html
https://docs.aws.amazon.com/lake ... l-fine-grained.html

NEW QUESTION # 198
A media company wants to improve a system that recommends media content to customer based on user behavior and preferences. To improve the recommendation system, the company needs to incorporate insights from third-party datasets into the company's existing analytics platform.
The company wants to minimize the effort and time required to incorporate third-party datasets.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from AWS CodeCommit repositories.
  • B. Use API calls to access and integrate third-party datasets from AWS Data Exchange.
  • C. Use API calls to access and integrate third-party datasets from AWS DataSync.
  • D. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from Amazon Elastic Container Registry (Amazon ECR).
Answer: C
Explanation:
Data Exchange is the AWS official third-party datasets repository:
https://aws.amazon.com/data-exchange

NEW QUESTION # 199
......
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