DEA-C01 Buch - DEA-C01 Fragenpool

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Snowflake DEA-C01 Exam Overview:
| Certification Vendor: | Snowflake |
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| Exam Name: | SnowPro Advanced: Data Engineer Certification Exam |
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| Exam Number: | DEA-C01 |
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| Exam Price: | $375 USD |
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| Real Exam Qty: | approximately 50 questions |
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| Exam Format: | Multiple Select, Multiple Choice |
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| Related Certifications: | SnowPro Core Certification (Recommended Prerequisite) |
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| Available Languages: | English |
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| Certificate Validity Period: | 2 years (recertification required) |
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| Exam Duration: | 90 minutes |
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| Passing Score: | ~70% (exact passing score not publicly disclosed by Snowflake) |
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| Sample Questions: | Snowflake DEA-C01 Sample Questions |
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| Exam Way: | Online proctored exam (via Pearson VUE) or in-person testing center |
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| Pre Condition: | SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential. |
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| Official Syllabus URL: | https://www.snowflake.com/certification/ |
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Snowflake DEA-C01 Prüfungsplan:
| Thema | Einzelheiten |
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| Thema 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.
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| Thema 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.
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| Thema 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.
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| Thema 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.
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| Thema 5 | - 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.
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Snowflake SnowPro Advanced: Data Engineer Certification Exam DEA-C01 Prüfungsfragen mit Lösungen (Q140-Q145):
140. Frage
A company created an extract, transform, and load (ETL) data pipeline in AWS Glue. A data engineer must crawl a table that is in Microsoft SQL Server. The data engineer needs to extract, transform, and load the output of the crawl to an Amazon S3 bucket. The data engineer also must orchestrate the data pipeline.
Which AWS service or feature will meet these requirements MOST cost-effectively?
- A. AWS Step Functions
- B. AWS Glue Studio
- C. Amazon Managed Workflows for Apache Airflow (Amazon MWAA)
- D. AWS Glue workflows
Antwort: D
Begründung:
https://aws.amazon.com/blogs/big-data/orchestrate-an-etl-pipeline-using-aws-glue-workflows- triggers-and-crawlers-with-custom-classifiers/
https://aws.amazon.com/blogs/big-data/extracting-multidimensional-data-from-microsoft-sql- server-analysis-services-using-aws-glue/
141. Frage
A data engineer wants to improve the performance of SQL queries in Amazon Athena that run against a sales data table.
The data engineer wants to understand the execution plan of a specific SQL statement. The data engineer also wants to see the computational cost of each operation in a SQL query.
Which statement does the data engineer need to run to meet these requirements?
- A. EXPLAIN ANALYZE FROM sales;
- B. EXPLAIN ANALYZE SELECT * FROM sales;
- C. EXPLAIN FROM sales;
- D. EXPLAIN SELECT * FROM sales;
Antwort: B
Begründung:
https://docs.aws.amazon.com/athena/latest/ug/athena-explain-statement.html
142. Frage
A data engineer needs to debug an AWS Glue job that reads from Amazon S3 and writes to Amazon Redshift. The data engineer enabled the bookmark feature for the AWS Glue job.
The data engineer has set the maximum concurrency for the AWS Glue job to 1.
The AWS Glue job is successfully writing the output to Amazon Redshift. However, the Amazon S3 files that were loaded during previous runs of the AWS Glue job are being reprocessed by subsequent runs.
What is the likely reason the AWS Glue job is reprocessing the files?
- A. The maximum concurrency for the AWS Glue job is set to 1.
- B. The data engineer incorrectly specified an older version of AWS Glue for the Glue job.
- C. The AWS Glue job does not have the s3:GetObjectAcl permission that is required for bookmarks to work correctly.
- D. The AWS Glue job does not have a required commit statement.
Antwort: D
Begründung:
https://docs.aws.amazon.com/glue/latest/dg/glue-troubleshooting-errors.html#error-job- bookmarks-reprocess-data
143. Frage
A company has an Amazon Redshift data warehouse that users access by using a variety of IAM roles. More than 100 users access the data warehouse every day.
The company wants to control user access to the objects based on each user's job role, permissions, and how sensitive the data is.
Which solution will meet these requirements?
- A. Use the row-level security (RLS) feature of Amazon Redshift.
- B. Use the column-level security (CLS) feature of Amazon Redshift.
- C. Use the role-based access control (RBAC) feature of Amazon Redshift.
- D. Use dynamic data masking policies in Amazon Redshift.
Antwort: C
Begründung:
Role-based access control (RBAC) in Amazon Redshift enables administrators to define roles based on job functions and then assign these roles to users. RBAC allows for granular permissions management based on job roles, aligning well with the need to control access according to each user's role, permissions, and the sensitivity of data. This approach simplifies managing access for a large number of users by using predefined roles instead of individual permissions.
144. Frage
Which are supported Programming Languages for Creating UDTFs?
- A. Javascript
- B. Perl
- C. Java
- D. Node.javascript
- E. Python
Antwort: A,C,E
145. Frage
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