In-Depth of Questions DEA-C01 valuable resource

We decided to research because we felt the pressure from competition. We must also pay attention to the social dynamics in the process of preparing for the DEA-C01 exam. Experts at our DEA-C01 simulating exam have been supplementing and adjusting the content of our products. So our DEA-C01 Exam Questions are always the most accurate and authoritative. At the same time, our professional experts keep a close eye on the updating the DEA-C01 study materials. That is why our DEA-C01 training prep is the best seller on the market.

It can almost be said that you can pass the DEA-C01 exam only if you choose our DEA-C01 exam braindumps. Our DEA-C01 study materials will provide everything we can do to you. Only should you move the mouse to buy it can you enjoy our full range of thoughtful services. Having said that, why not give our DEA-C01 Preparation materials a try instead of spending a lot of time and effort doing something that you may be not good at? Just give it to us and you will succeed easily.

>> DEA-C01 Test Questions Vce <<

Pass Guaranteed DEA-C01 - SnowPro Advanced: Data Engineer Certification Exam Authoritative Test Questions Vce

With the development of society and the perfection of relative laws and regulations, the DEA-C01 certificate in our career field becomes a necessity for our countryPassing the DEA-C01 and obtaining the certificate may be the fastest and most direct way to change your position and achieve your goal. And we are just right here to give you help. Being considered the most authentic brand in this career, our professional experts are making unremitting efforts to provide our customers the latest and valid DEA-C01 Exam simulation.

Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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 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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q52-Q57):

NEW QUESTION # 52
A company stores datasets in JSON format and .csv format in an Amazon S3 bucket. The company has Amazon RDS for Microsoft SQL Server databases, Amazon DynamoDB tables that are in provisioned capacity mode, and an Amazon Redshift cluster. A data engineering team must develop a solution that will give data scientists the ability to query all data sources by using syntax similar to SQL.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Lake Formation to create a data lake. Use Lake Formation jobs to transform the data from all data sources to Apache Parquet format. Store the transformed data in an S3 bucket. Use Amazon Athena or Redshift Spectrum to query the data.
B. Use AWS Glue to crawl the data sources. Store metadata in the AWS Glue Data Catalog. Use Amazon Athena to query the data. Use SQL for structured data sources. Use PartiQL for data that is stored in JSON format.
C. Use AWS Glue to crawl the data sources. Store metadata in the AWS Glue Data Catalog. Use Redshift Spectrum to query the data. Use SQL for structured data sources. Use PartiQL for data that is stored in JSON format.
D. Use AWS Glue to crawl the data sources. Store metadata in the AWS Glue Data Catalog. Use AWS Glue jobs to transform data that is in JSON format to Apache Parquet or .csv format. Store the transformed data in an S3 bucket. Use Amazon Athena to query the original and transformed data from the S3 bucket.

Answer: B

NEW QUESTION # 53
Database XYZ has the data_retention_time_in_days parameter set to 7 days and table xyz.public.ABC has the data_retention_time_in_daysset to 10 days.
A Developer accidentally dropped the database containing this single table 8 days ago and just discovered the mistake.
How can the table be recovered?

A. create table abc_restore clone xyz.public.abc at (offset => -300G*24*3);
B. Create a Snowflake Support case lo restore the database and tab e from "a i-safe
C. create -able abc_restore as select * from xyz.public.abc at {offset => -60*60*24*8};
D. undrop database xyz;

Answer: D

Explanation:
Explanation
The table can be recovered by using the undrop database xyz; command. This command will restore the database that was dropped within the last 14 days, along with all its schemas and tables, including the customer table. The data_retention_time_in_days parameter does not affect this command, as it only applies to time travel queries that reference historical data versions of tables or databases. The other options are not valid ways to recover the table. Option B is incorrect because creating a table as select * from xyz.public.ABC at
{offset => -6060248} will not work, as this query will try to access a historical data version of the ABC table that does not exist anymore after dropping the database. Option C is incorrect because creating a table clone xyz.public.ABC at {offset => -360024*3} will not work, as this query will try to clone a historical data version of the ABC table that does not exist anymore after dropping the database. Option D is incorrect because creating a Snowflake Support case to restore the database and table from fail-safe will not work, as fail-safe is only available for disaster recovery scenarios and cannot be accessed by customers.

NEW QUESTION # 54
A data engineer must ingest a source of structured data that is in .csv format into an Amazon S3 data lake. The .csv files contain 15 columns. Data analysts need to run Amazon Athena queries on one or two columns of the dataset. The data analysts rarely query the entire file.
Which solution will meet these requirements MOST cost-effectively?

A. Use an AWS Glue PySpark job to ingest the source data into the data lake in Apache Avro format.
B. Create an AWS Glue extract, transform, and load (ETL) job to read from the .csv structured data source. Configure the job to ingest the data into the data lake in JSON format.
C. Create an AWS Glue extract, transform, and load (ETL) job to read from the .csv structured data source. Configure the job to write the data into the data lake in Apache Parquet format.
D. Use an AWS Glue PySpark job to ingest the source data into the data lake in .csv format.

Answer: C

NEW QUESTION # 55
Search optimization works best to improve the performance of a query when the following condi-tions are true:[Select All that apply]

A. Search Query uses Sort Operations.
B. The table is not clustered.
C. The table is frequently queried on columns other than the primary cluster key.
D. Search Query uses Equality predicates (for example, <column_name> = <constant>) OR Predicates that use IN.

Answer: B,C,D

Explanation:
Explanation
Materialized Views works best for search query performance in case of Sort Operations. For Rest of the points Search optimization works best to improve query performance.

NEW QUESTION # 56
A data engineer is using Amazon Athena to analyze sales data that is in Amazon S3. The data engineer writes a query to retrieve sales amounts for 2023 for several products from a table named sales_data. However, the query does not return results for all of the products that are in the sales_data table. The data engineer needs to troubleshoot the query to resolve the issue.
The data engineer's original query is as follows:
SELECT product_name, sum(sales_amount)
FROM sales_data
WHERE year = 2023
GROUP BY product_name
How should the data engineer modify the Athena query to meet these requirements?

A. Change WHERE year = 2023 to WHERE extract(year FROM sales_data) = 2023.
B. Add HAVING sum(sales_amount) > 0 after the GROUP BY clause.
C. Remove the GROUP BY clause.
D. Replace sum(sales_amount) with count(*) for the aggregation.

Answer: B

Explanation:
https://docs.aws.amazon.com/athena/latest/ug/select.html

NEW QUESTION # 57
......

For candidates who are going to buy DEA-C01 exam dumps online, they may pay more attention to the website safety. We will offer you a clean and safe online shopping environment if you buy DEA-C01 training materials from us. In addition, we offer you free demo for you to have a try before buying, so that you can know what the complete version is like. We have online and offline chat service stuff, and they possess the professional knowledge for DEA-C01 Exam Braindumps, if you have any questions, you can consult us.

DEA-C01 Reliable Test Simulator: https://www.crampdf.com/DEA-C01-exam-prep-dumps.html

Jerry Nelson Jerry Nelson

Biography

In-Depth of Questions DEA-C01 valuable resource

Pass Guaranteed DEA-C01 - SnowPro Advanced: Data Engineer Certification Exam Authoritative Test Questions Vce

Snowflake DEA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q52-Q57):

Quick Links

Visit Us

Contact Us

Download our App