DEA-C01受験資格、DEA-C01勉強の資料

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Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Exam Format:	Multiple Choice, Multiple Select
Passing Score:	~70% (exact passing score not publicly disclosed by Snowflake)
Related Certifications:	SnowPro Core Certification (Recommended Prerequisite)
Exam Price:	$375 USD
Exam Duration:	90 minutes
Real Exam Qty:	approximately 50 questions
Certificate Validity Period:	2 years (recertification required)
Available Languages:	English
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored exam (via Pearson VUE) or in-person testing center
Pre Condition:	SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential.
Official Syllabus URL:	https://www.snowflake.com/certification/

>> DEA-C01受験資格 <<

一番売れているSnowflake DEA-C01合格教本

Snowflake持ってきた製品があなたにふさわしくないと感じることはよくありますか？ Snowflakeラーニングガイドを使用することに決めた場合、問題に遭遇することは決してないことをお伝えしたいと思います。私たちの教材は、あなたが期待できないDEA-C01高品質を持っています。学習教材のガイダンスで経験を積むと、以前よりもDEA-C01時間を費やさず、明らかにSnowPro Advanced: Data Engineer Certification Exam進歩を感じることができます。また、Snowflakeテストクイズは進歩に役立つことがわかります。

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	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 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.
トピック 3	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 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.
トピック 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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam 認定 DEA-C01 試験問題 (Q14-Q19):

質問 # 14
A company wants to migrate a data warehouse from Teradata to Amazon Redshift.
Which solution will meet this requirement with the LEAST operational effort?

A. Use the AWS Schema Conversion Tool (AWS SCT) to migrate the schema. Use AWS Database Migration Service (AWS DMS) to migrate the data.
B. Use AWS Database Migration Service (AWS DMS) to migrate the data. Use automatic schema conversion.
C. Use AWS Database Migration Service (AWS DMS) Schema Conversion to migrate the schema.
Use AWS DMS to migrate the data.
D. Manually export the schema definition from Teradata. Apply the schema to the Amazon Redshift database. Use AWS Database Migration Service (AWS DMS) to migrate the data.

正解：A

解説：
This solution provides the least operational effort for migrating a data warehouse from Teradata to Amazon Redshift by using AWS services that are specifically designed for schema and data migration:
AWS Schema Conversion Tool (SCT) is used to convert and migrate the schema from Teradata to Amazon Redshift, handling schema differences automatically and reducing manual work.
AWS Database Migration Service (DMS) is then used to transfer the data from Teradata to Redshift, allowing for efficient data migration.

質問 # 15
As Data Engineer, you have requirement to Load set of New Product Files containing Product rele-vant information into the Snowflake internal tables, Later you analyzed that some of the Source files are already loaded in one of the historical batch & for that you have prechecked Metadata col-umn LAST_MODIFIED date for a staged data file & found out that LAST_MODIFIED date is older than 64 days for few files and the initial set of data was loaded into the table more than 64 days earlier, Which one is the best approach to Load Source data files with expired load metadata along with set of files whose metadata might be available to avoid data duplication?

A. The COPY command cannot definitively determine whether a file has been loaded al-ready if the LAST_MODIFIED date is older than 64 days and the initial set of data was loaded into the table more than 64 days earlier (and if the file was loaded into the table, that also occurred more than 64 days earlier). In this case, to prevent accidental reload, the command skips the product files by default.
B. Since the initial set of data for the table (i.e. the first batch after the table was created) was loaded, we can simply use the COPY INTO command to load all the product files with the known load status irrespective of their column LAST_MODIFIED date values.
C. Set the FORCE option to load all files, ignoring load metadata if it exists.
D. To load files whose metadata has expired, set the LOAD_UNCERTAIN_FILES copy option to true.

正解：D

解説：
Explanation
To load files whose metadata has expired, set the LOAD_UNCERTAIN_FILES copy option to true. The copy option references load metadata, if available, to avoid data duplication, but also at-tempts to load files with expired load metadata.
Alternatively, set the FORCE option to load all files, ignoring load metadata if it exists. Note that this option reloads files, potentially duplicating data in a table.
Please refer the Example as mentioned in the link below:
https://docs.snowflake.com/en/user-guide/data-load-considerations-load.html#loading-older-files

質問 # 16
A company is working on a new big data analytical tool that will store data in the EFS regional file system. Workload performance is calculated and will be 10% of the average-to-peak ratio. Data in the file system should be accessed with the lowest latency.
What performance and throughput mode can be selected?

A. Select Max I/O mode with bursting throughput mode.
B. Select Max I/O mode with elastic throughput mode.
C. Select default performance mode with Provisioned throughput mode.
D. Select general purpose mode with bursting throughput mode.

正解：C

解説：
Amazon EFS provides the following performance modes
General Purpose: This is a default performance mode offering the lowest latency.
Max I/O: This mode is suitable for parallelized workloads which can withstand higher latency.
Amazon EFS offers the following throughput modes,
Elastic Throughput Mode: Suitable for spiky or unpredictable workloads or when the application requires throughput at an average-to-peak ratio of 5% or less.
Provisioned Throughput Mode: Suitable for predictable workloads or when the application requires throughput at an average-to-peak ratio of 5% or more.
Bursting Throughout Mode: Suitable when throughput needs to be scaled to the amount of storage in the file system.
In the above case, to achieve the lowest latency and throughput at 10% of the average-to-peak ratio, the default performance modes, which are the General purpose mode and the Provisioned throughput mode, can be selected.
Reference:
https://docs.aws.amazon.com/efs/latest/ug/performance.html

質問 # 17
Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis. A data engineer wants to ingest new files into Amazon Redshift in near real time when the new files arrive in the S3 bucket.
Which solution will meet these requirements?

A. Use AWS Glue job bookmarks to extract, transform, and load (ETL) load new files into Amazon Redshift.
B. Use the query editor v2 to schedule a COPY command to load new files into Amazon Redshift.
C. Use S3 Event Notifications to invoke an AWS Lambda function that loads new files into Amazon Redshift.
D. Use the zero-ETL integration between Amazon Aurora and Amazon Redshift to load new files into Amazon Redshift.

正解：C

質問 # 18
Which of the following security and governance tools/technologies are known to provide native connectivity to Snowflake? [Select 2]

A. ALTR
B. Dataiku
C. BIG Squid
D. Zepl
E. Baffle

正解：A、E

解説：
Explanation
Security and governance tools ensure sensitive data maintained by an organization is protected from inappropriate access and tampering, as well as helping organizations to achieve and maintain regula-tory compliance. These tools are often used in conjunction with observability solutions/services to provide organizations with visibility into the status, quality, and integrity of their data, including identifying potential issues.
Together, these tools support a wide range of operations, including risk assessment, intrusion detec-tion/monitoring/notification, data masking, data cataloging, data health/quality checks, issue identi-fication/troubleshooting/resolution, and more.
ALTR & Baffle are correct options here.

質問 # 19
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