高品質なDEA-C01認定試験一回合格-検証するDEA-C01テスト参考書

P.S. JapancertがGoogle Driveで共有している無料かつ新しいDEA-C01ダンプ：https://drive.google.com/open?id=1C7UAqe67Kxj1hevVRRBJjGrjeJfCpTvp

SnowflakeのDEA-C01認証試験はIT業界にとても重要な地位があることがみんなが、たやすくその証本をとることはではありません。いまの市場にとてもよい問題集が探すことは難しいです。Japancertは認定で優秀なIT資料のウエブサイトで、ここでSnowflake DEA-C01認定試験「SnowPro Advanced: Data Engineer Certification Exam」の先輩の経験と暦年の試験の材料を見つけることができるとともに部分の最新の試験の題目と詳しい回答を無料にダウンロードこともできますよ。

Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Exam Duration:	115 minutes
Related Certifications:	SnowPro Advanced: Data Scientist SnowPro Advanced: Administrator SnowPro Advanced: Architect SnowPro Advanced: Security Engineer SnowPro Core SnowPro Advanced: Data Analyst
Available Languages:	English, Japanese
Certificate Validity Period:	2 years
Real Exam Qty:	65
Passing Score:	750 / 1000
Exam Price:	$375 USD
Exam Format:	Multiple choice, Multiple select
Recommended Training:	SnowPro Advanced: Data Engineer Exam Study Guide Snowflake University Training Courses
Exam Registration:	Snowflake Certification Portal Pearson VUE Registration
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	Must hold active SnowPro Core Certification; recommended 2+ years hands-on data engineering experience
Official Syllabus URL:	https://learn.snowflake.com/en/certifications/snowpro-advanced-dataengineer/

>> DEA-C01認定試験 <<

DEA-C01テスト参考書 & DEA-C01技術問題

Japancertの専門家チームが君の需要を満たすために自分の経験と知識を利用してSnowflakeのDEA-C01認定試験対策模擬テスト問題集が研究しました。模擬テスト問題集と真実の試験問題がよく似ています。一目でわかる最新の出題傾向でわかりやすい解説と充実の補充問題があります。

Snowflake DEA-C01 認定試験の出題範囲：

トピック	出題範囲
トピック 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.
トピック 2	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.
トピック 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.
トピック 4	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.
トピック 5	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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam 認定 DEA-C01 試験問題 (Q385-Q390):

質問 # 385
A data engineer needs to run a data transformation job whenever a user adds a file to an Amazon S3 bucket. The job will run for less than 1 minute. The job must send the output through an email message to the data engineer. The data engineer expects users to add one file every hour of the day.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Run an Amazon Elastic Container Service (Amazon ECS) task to poll the S3 bucket for new files.
Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.
B. Deploy an Amazon EMR cluster. Use EMR File System (EMRFS) to access the files in the S3 bucket. Run transformation code on a schedule to generate the output to a second S3 bucket.Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon S3 Event Notifications to notify the topic when a new object is created.
C. Create an AWS Lambda function to transform the data. Use Amazon S3 Event Notifications to invoke the Lambda function when a new object is created. Publish the output to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the data engineer's email account to the topic.
D. Create a small Amazon EC2 instance that polls the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.

正解：C

解説：
An S3 event notification on ObjectCreated can directly invoke a Lambda function as soon as a new file arrives. Lambda can perform your <1 minute transformation and then publish the result to an SNS topic. With the data engineer subscribed to that topic by email, the output is delivered automatically
- no servers to manage, no polling, and minimal ongoing operations.

質問 # 386
A company needs a solution to manage costs for an existing Amazon DynamoDB table. The company also needs to control the size of the table. The solution must not disrupt any ongoing read or write operations. The company wants to use a solution that automatically deletes data from the table after 1 month.
Which solution will meet these requirements with the LEAST ongoing maintenance?

A. Use an AWS Lambda function to periodically scan the DynamoDB table for data that is older than
1 month. Configure the Lambda function to delete old data.
B. Use the DynamoDB TTL feature to automatically expire data based on timestamps.
C. Configure a scheduled Amazon EventBridge rule to invoke an AWS Lambda function to check for data that is older than 1 month. Configure the Lambda function to delete old data.
D. Configure a stream on the DynamoDB table to invoke an AWS Lambda function. Configure the Lambda function to delete data in the table that is older than 1 month.

正解：B

解説：
DynamoDB TTL (Time to Live) is a built-in feature that allows you to automatically delete expired items from your table based on a timestamp attribute.
Once TTL is enabled, DynamoDB automatically removes the items after they reach the expiration time, without disrupting any ongoing read or write operations. This solution provides the least ongoing maintenance because it's fully managed by DynamoDB and doesn't require manual interventions or additional Lambda functions.

質問 # 387
A data engineer is building a solution to detect sensitive information that is stored in a data lake across multiple Amazon S3 buckets. The solution must detect personally identifiable information (PII) that is in a proprietary data format.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon Athena with a SQL query to match the custom formats.
B. Use an AWS Lambda function with custom regular expressions.
C. Use the AWS Glue Detect PII transform with specific patterns.
D. Use Amazon Made with managed data identifiers.

正解：C

解説：
The AWS Glue Detect PII transform is a built-in feature that can automatically identify personally identifiable information (PII) using predefined patterns or custom regular expressions. It works directly within AWS Glue jobs on proprietary data formats and integrates with the Glue Data Catalog, delivering a managed, low-overhead solution compared to building and maintaining custom Lambda or SQL-based detection.

質問 # 388
A company stores data from an application in an Amazon DynamoDB table that operates in provisioned capacity mode. The workloads of the application have predictable throughput load on a regular schedule. Every Monday, there is an immediate increase in activity early in the morning.
The application has very low usage during weekends.
The company must ensure that the application performs consistently during peak usage times.
Which solution will meet these requirements in the MOST cost-effective way?

A. Use AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times.
Schedule lower capacity during off-peak times.
B. Change the capacity mode from provisioned to on-demand. Configure the table to scale up and scale down based on the load on the table.
C. Divide the table into two tables. Provision each table with half of the provisioned capacity of the original table. Spread queries evenly across both tables.
D. Increase the provisioned capacity to the maximum capacity that is currently present during peak load times.

正解：A

質問 # 389
If you need to connect to Snowflake using a BI tool or technology, which of the following BI tools and technologies are known to provide native connectivity to Snowflake?

A. SELECT STAR
B. SISENSE
C. ALATION
D. PROTEGRITY

正解：B

解説：
Explanation
SISENSE is BI tools and technologies which is known to provide native connectivity to Snowflake, Rest of the options given are security & governance tools supported by SnowFlake.
Business intelligence (BI) tools enable analyzing, discovering, and reporting on data to help execu-tives and managers make more informed business decisions. A key component of any BI tool is the ability to deliver data visualization through dashboards, charts, and other graphical output.
For More details around supported BI Tools in Snowflake Ecosystem, do refer the link below:
https://docs.snowflake.com/en/user-guide/ecosystem-bi

質問 # 390
......

DEA-C01テスト参考書: https://www.japancert.com/DEA-C01.html

BONUS！！！ Japancert DEA-C01ダンプの一部を無料でダウンロード：https://drive.google.com/open?id=1C7UAqe67Kxj1hevVRRBJjGrjeJfCpTvp