Training Snowflake DEA-C01 Pdf | Reliable DEA-C01 Exam Answers

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Dumpcollection's web-based Snowflake DEA-C01 practice test also contains mock exams just like the desktop practice exam software with some extra features. As this is a web-based software, this is accessible through any browser like Opera, Safari, Chrome, Firefox and MS Edge with a good internet connection. SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) practice test is also customizable so that you can easily set the timings and change the number of questions according to your ease.

Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 5
  • 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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q38-Q43):

NEW QUESTION # 38
Which query will show a list of the 20 most recent executions of a specified task kttask, that have been scheduled within the last hour that have ended or are stillrunning's.

  • A.
  • B.
  • C.
  • D.

Answer: C


NEW QUESTION # 39
A data engineer uses Amazon Redshift to run resource-intensive analytics processes once every month. Every month, the data engineer creates a new Redshift provisioned cluster. The data engineer deletes the Redshift provisioned cluster after the analytics processes are complete every month. Before the data engineer deletes the cluster each month, the data engineer unloads backup data from the cluster to an Amazon S3 bucket.
The data engineer needs a solution to run the monthly analytics processes that does not require the data engineer to manage the infrastructure manually.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use the AWS CLI to automatically process the analytics workload.
  • B. Use Amazon Step Functions to pause the Redshift cluster when the analytics processes are complete and to resume the cluster to run new processes every month.
  • C. Use Amazon Redshift Serverless to automatically process the analytics workload.
  • D. Use AWS CloudFormation templates to automatically process the analytics workload.

Answer: C

Explanation:
Use Amazon Redshift Serverless. This option allows the data engineer to focus on the analytics processes themselves without worrying about cluster provisioning, scaling, or management. It provides an on-demand, serverless solution that can handle variable workloads and is cost- effective for intermittent and irregular processing needs like those described.


NEW QUESTION # 40
A Data Engineer wants to centralize grant management to maximize security. A user needs ownership on a table m a new schema However, this user should not have the ability to make grant decisions What is the correct way to do this?

  • A. Add the with managed access parameter on the schema
  • B. Grant ownership to the user on the table
  • C. Revoke grant decisions from the user on the table
  • D. Revoke grant decisions from the user on the schema.

Answer: A

Explanation:
Explanation
The with managed access parameter on the schema enables the schema owner to control the grant and revoke privileges on the objects within the schema. This way, the user who owns the table cannot make grant decisions, but only the schema owner can. This is the best way to centralize grant management and maximize security.


NEW QUESTION # 41
In Which Data Modelling Technique, Data Engineer generally refer the terms Hubs & Satellites?

  • A. Snowflake Schema
  • B. Data Vault
  • C. Star Schema
  • D. Data Hub

Answer: B

Explanation:
Explanation
In Data Vault modelling, Hubs are entities of interest to the business.
They contain just a distinct list of business keys and metadata about when each key was first loaded and from where.
In Data Vault modelling, Satellites connect to Hubs or Links. They are Point in Time: so we can ask and answer the question, "what did we know when?" Satellites contain data about their parent Hub or Link and metadata about when the data was load-ed, from where, and a business effectivity date.


NEW QUESTION # 42
Data Engineer wants to analyze query performance & looking out for profiling information, He went to Query/Operator Details also called Profile Overview of Query Profile Interface & searching for statistics attributes around I/O. Which of the following information he can't get from there?

  • A. Percentage scanned from cache - the percentage of data scanned from the local disk cache.
  • B. Bytes written - bytes written (e.g. when loading into a table).
  • C. External bytes scanned - bytes read from an external object, e.g. a stage.
  • D. Bytes read from result - bytes read from the result object.
  • E. Bytes sent over the wireframe - amount of data sent over the wireframe

Answer: E

Explanation:
Explanation
To help you analyze query performance, Query/Operator Details panel also called Profile overview panel provides two classes of profiling information:
Execution time, broken down into categories
Detailed statistics
Apart from Option a Bytes sent over the wireframe - amount of data sent over the wireframe , Rest of the Statistics Information provided by Query/Operator details in the Query Profile Inter-face.
To Know More about the Query/Operator Details options , please refer the link:
https://docs.snowflake.com/en/user-guide/ui-query-profile#query-operator-details


NEW QUESTION # 43
......

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