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The Snowflake DEA-C01 certification exam is one of the hottest and career-oriented SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) exams. With the SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) exam you can validate your skills and upgrade your knowledge level. By doing this you can learn new in-demand skills and gain multiple career opportunities. To do this you just need to enroll in the Snowflake DEA-C01 Certification Exam and put all your efforts to pass this important Snowflake DEA-C01 Exam Questions.

Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 2	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 3	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 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.
Topic 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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q110-Q115):

NEW QUESTION # 110
A company uses an AWS Lambda function to transfer files from a legacy SFTP environment to Amazon S3 buckets. The Lambda function is VPC enabled to ensure that all communications between the Lambda function and other AVS services that are in the same VPC environment will occur over a secure network.
The Lambda function is able to connect to the SFTP environment successfully. However, when the Lambda function attempts to upload files to the S3 buckets, the Lambda function returns timeout errors. A data engineer must resolve the timeout issues in a secure way.
Which solution will meet these requirements in the MOST cost-effective way?

A. Create a VPC interface endpoint for Amazon S3. Route network traffic to the VPC interface endpoint.
B. Create a VPC gateway endpoint for Amazon S3. Route network traffic to the VPC gateway endpoint.
C. Create a NAT gateway in the public subnet of the VPC. Route network traffic to the NAT gateway.
D. Use a VPC internet gateway to connect to the internet. Route network traffic to the VPC internet gateway.

Answer: B

Explanation:
While interface endpoints is a viable solution, it can be more complex and expensive compared to a gateway endpoint. VPC interface endpoints charge per hour and per gigabyte of data transferred.

NEW QUESTION # 111
Select the Incorrect statement about External Functions in SnowFlake?

A. Inside Snowflake, the external function is stored as a database object that contains in-formation that Snowflake uses to call the remote service.
B. Inside Snowflake, the external function is stored as a API Integration object.
C. An external function does not contain its own code; instead, the external function calls code that is stored and executed outside Snowflake.
D. An external function is a type of UDF.

Answer: B

NEW QUESTION # 112
An online retailer uses multiple delivery partners to deliver products to customers. The delivery partners send order summaries to the retailer. The retailer stores the order summaries in Amazon S3.
Some of the order summaries contain personally identifiable information (PII) about customers. A data engineer needs to detect PII in the order summaries so the company can redact the PII.
Which solution will meet these requirements with the LEAST operational overhead?

A. Amazon SageMaker Data Wrangler
B. Amazon S3 Storage Lens
C. Amazon Textract
D. Amazon Macie

Answer: D

Explanation:
Amazon Macie is a fully managed data security and privacy service that uses machine learning and pattern matching to discover and protect sensitive data, such as Personally Identifiable Information (PII), stored in Amazon S3. Macie can automatically scan the order summaries for PII, enabling the company to detect and then redact PII as required.

NEW QUESTION # 113
A retail company uses an Amazon Redshift data warehouse and an Amazon S3 bucket. The company ingests retail order data into the S3 bucket every day.
The company stores all order data at a single path within the S3 bucket. The data has more than
100 columns. The company ingests the order data from a third-party application that generates more than 30 files in CSV format every day. Each CSV file is between 50 and 70 MB in size.
The company uses Amazon Redshift Spectrum to run queries that select sets of columns. Users aggregate metrics based on daily orders. Recently, users have reported that the performance of the queries has degraded. A data engineer must resolve the performance issues for the queries.
Which combination of steps will meet this requirement with LEAST developmental effort?
(Choose two.)

A. Configure the third-party application to create the files in JSON format.
B. Configure the third-party application to create the files in a columnar format.
C. Develop an AWS Glue ETL job to convert the multiple daily CSV files to one file for each day.
D. Partition the order data in the S3 bucket based on order date.
E. Load the JSON data into the Amazon Redshift table in a SUPER type column.

Answer: B,D

Explanation:
A columnar format like Parquet or ORC optimizes query performance, especially when using services like Redshift Spectrum. Redshift Spectrum allows querying data directly in S3, and columnar formats help reduce the amount of data scanned during queries because only the needed columns are read. This reduces I/O and speeds up the query performance without needing to load all the columns of the dataset. This change is highly beneficial, especially when querying large datasets with many columns like in this scenario.
Partitioning the data in Amazon S3 helps Redshift Spectrum prune unnecessary data, improving query performance. Partitioning by a frequently filtered column like order date allows Redshift Spectrum to scan only relevant partitions, reducing the amount of data that needs to be processed. This leads to faster query times.
While combining files might reduce the number of files and improve performance slightly, it doesn't address the core issue of optimizing the data format and partitioning, which have a much bigger impact on performance.
JSON is not an efficient format for large-scale analytics and tends to have worse performance compared to columnar formats. Columnar formats like Parquet or ORC are preferable in this case.
The SUPER type is useful for semi-structured data in Redshift but isn't directly related to improving query performance in this scenario, where columnar formats and partitioning would provide more benefit.

NEW QUESTION # 114
A data engineer is launching an Amazon EMR cluster. The data that the data engineer needs to load into the new cluster is currently in an Amazon S3 bucket. The data engineer needs to ensure that data is encrypted both at rest and in transit. The data that is in the S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The data engineer has an Amazon S3 path that has a Privacy Enhanced Mail (PEM) file.
Which solution will meet these requirements?

A. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for local disk encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.
B. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Create a second security configuration. Specify the Amazon S3 path of the PEM file for in-transit encryption. Create the EMR cluster, and attach both security configurations to the cluster.
C. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption.
Create the EMR cluster, and attach the security configuration to the cluster.
D. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption.
Use the security configuration during EMR cluster creation.

Answer: D

Explanation:
Amazon EMR security configurations allow you to define encryption settings for both at-rest and in-transit data. In this case, the data in the S3 bucket is already encrypted with an AWS KMS key, so you need to ensure the EMR cluster uses the same key for at-rest encryption when accessing the S3 bucket.
For in-transit encryption, you need to provide a PEM file that contains the SSL/TLS certificate, which ensures that data transferred to and from the cluster is encrypted.
By specifying both the KMS key for at-rest encryption and the PEM file for in-transit encryption in a single security configuration, you ensure that the data is encrypted during storage and transmission.

NEW QUESTION # 115
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