DEA-C01 LATEST STUDY QUESTIONS | DEA-C01 REASONABLE EXAM PRICE

DEA-C01 Latest Study Questions | DEA-C01 Reasonable Exam Price

DEA-C01 Latest Study Questions | DEA-C01 Reasonable Exam Price

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Tags: DEA-C01 Latest Study Questions, DEA-C01 Reasonable Exam Price, Test DEA-C01 Discount Voucher, Exam DEA-C01 Demo, Dumps DEA-C01 PDF

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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 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
  • 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.

>> DEA-C01 Latest Study Questions <<

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q128-Q133):

NEW QUESTION # 128
Which Role inherits the privileges of the USERADMIN role via the system role hierarchy?

  • A. CUSTOM ROLE
  • B. PUBLIC
  • C. SECURITYADMIN
  • D. SYSADMIN

Answer: C


NEW QUESTION # 129
A company currently stores all of its data in Amazon S3 by using the S3 Standard storage class.
A data engineer examined data access patterns to identify trends. During the first 6 months, most data files are accessed several times each day. Between 6 months and 2 years, most data files are accessed once or twice each month. After 2 years, data files are accessed only once or twice each year.
The data engineer needs to use an S3 Lifecycle policy to develop new data storage rules. The new storage solution must continue to provide high availability.
Which solution will meet these requirements in the MOST cost-effective way?

  • A. Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. Transfer objects to S3 Glacier Deep Archive after 2 years.
  • B. Transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 6 months. Transfer objects to S3 Glacier Deep Archive after 2 years.
  • C. Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. Transfer objects to S3 Glacier Flexible Retrieval after 2 years.
  • D. Transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 6 months. Transfer objects to S3 Glacier Flexible Retrieval after 2 years.

Answer: C


NEW QUESTION # 130
A company is planning to use a provisioned Amazon EMR cluster that runs Apache Spark jobs to perform big data analysis. The company requires high reliability. A big data team must follow best practices for running cost-optimized and long-running workloads on Amazon EMR. The team must find a solution that will maintain the company's current level of performance.
Which combination of resources will meet these requirements MOST cost-effectively? (Choose two.)

  • A. Use x86-based instances for core nodes and task nodes.
  • B. Use Spot Instances for all primary nodes.
  • C. Use Hadoop Distributed File System (HDFS) as a persistent data store.
  • D. Use Graviton instances for core nodes and task nodes.
  • E. Use Amazon S3 as a persistent data store.

Answer: C,D


NEW QUESTION # 131
A data engineer is building a data pipeline on AWS by using AWS Glue extract, transform, and load (ETL) jobs. The data engineer needs to process data from Amazon RDS and MongoDB, perform transformations, and load the transformed data into Amazon Redshift for analytics. The data updates must occur every hour.
Which combination of tasks will meet these requirements with the LEAST operational overhead?
(Choose two.)

  • A. Use AWS Glue connections to establish connectivity between the data sources and Amazon Redshift.
  • B. Use AWS Lambda functions to schedule and run the ETL jobs every hour.
  • C. Use the Redshift Data API to load transformed data into Amazon Redshift.
  • D. Use AWS Glue DataBrew to clean and prepare the data for analytics.
  • E. Configure AWS Glue triggers to run the ETL jobs every hour.

Answer: A,E

Explanation:
AWS Glue triggers provide a simple and integrated way to schedule ETL jobs. By configuring these triggers to run hourly, the data engineer can ensure that the data processing and updates occur as required without the need for external scheduling tools or custom scripts. This approach is directly integrated with AWS Glue, reducing the complexity and operational overhead.
AWS Glue supports connections to various data sources, including Amazon RDS and MongoDB.
By using AWS Glue connections, the data engineer can easily configure and manage the connectivity between these data sources and Amazon Redshift. This method leverages AWS Glue's built-in capabilities for data source integration, thus minimizing operational complexity and ensuring a seamless data flow from the sources to the destination (Amazon Redshift).


NEW QUESTION # 132
To support Time Travel, Which of the following SQL extensions/parameters/commands have been implemented?

  • A. OFFSET (time difference in seconds from the present time)
  • B. ONSET (time difference in seconds from the present time)
  • C. UNDROP command for tables, schemas, and databases.
  • D. STATEMENT_ID (identifier for statement, e.g. query ID)
  • E. AT | BEFORE clause which can be specified in the CREATE ... CLONE commands.
  • F. STATEMENT (identifier for statement, e.g. query ID)

Answer: A,C,E,F


NEW QUESTION # 133
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