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DEA-C02 Pass Test Guide | DEA-C02 Certification Materials

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Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions (Q324-Q329):

NEW QUESTION # 324
A global e-commerce company, 'GlobalMart', uses Snowflake for its data warehousing needs. They operate primarily in the US (us-east-1) and Europe (eu-west-l). They're implementing cross-region replication for disaster recovery and business continuity. Their requirements are: 1) All data from the US region needs to be replicated to the EU region. 2) The failover to the EU region should have minimal downtime. 3) Replication should be automatic and continuous. Considering these requirements, which of the following Snowflake features and configurations would be the MOST suitable and efficient?

A. Enable database replication using replication groups, configure a primary database in us-east-I , and a secondary database in eu-west-l. Set the replication schedule with 'ALTER REPLICATION GROUP ADD .
B. Manually unload data from the US region and load it into the EU region using SnowSQL. Automate this process using a scheduled task.
C. Create a database replica in the EU region and manually refresh it periodically using 'CREATE DATABASE AS CLONE'
D. Export data from the US region to cloud storage (e.g., AWS S3 or Azure Blob Storage) and then load it into the EU region using Snowpipe.
E. Use Snowflake's Data Sharing feature to share data from the US region with an account in the EU region. This automatically replicates the data.

Answer: A

Explanation:
Option B is the most suitable because it utilizes Snowflake's replication groups, which provide automated and continuous replication with minimal downtime during failover. Option A requires manual intervention. Option C doesn't truly replicate the data; it provides access to it. Options D and E are inefficient and introduce significant latency.

NEW QUESTION # 325
You are designing a Snowpipe pipeline to ingest data from an AWS SQS queue. The queue contains notifications about new files arriving in an S3 bucket. However, due to network issues, some notifications are delayed, causing Snowpipe to potentially miss files. Which of the following strategies, when combined, will BEST address the problem of delayed notifications and ensure data completeness?

A. Increase the 'MAX FILE AGE parameter in the Snowpipe definition and implement a periodic 'ALTER PIPE ... REFRESH' command.
B. Configure the SQS queue with a longer retention period and implement an event bridge rule with a retry policy to resend notifications.
C. Set 'MAX FILE_AGE to 'DEFAULT' and utilize the 'SYSTEM$PIPE FORCE RESUME' procedure in conjunction with a separate process that lists the S3 bucket and compares it to the files already loaded in Snowflake, loading any missing files.
D. Implement a Lambda function that triggers the 'SYSTEM$PIPE FORCE RESUME procedure after a certain delay.
E. Use 'VALIDATE()' function periodically to identify files that have not been loaded and trigger manual data loads for missing data.

Answer: C

Explanation:
Option E provides the most robust solution. Setting 'MAX FILE AGE to 'DEFAULT' ensures that Snowpipe considers all files, regardless of their age. 'SYSTEM$PIPE FORCE RESUME' can help in some cases. The key component is the supplemental process that actively compares the S3 bucket contents with the loaded data, identifying and loading any missing files due to delayed notifications. This approach guarantees data completeness even with delayed or missed SQS notifications. A,B,C,D doesn't guarantee data completeness. A alone can cause huge latency issue. B is not optimal. C addresses the SQS issue but not guaranteed to catch every case. D requires manual load intervention

NEW QUESTION # 326
A data engineer is using the Snowflake Spark connector to write data to a Snowflake table. The write operation fails consistently with the error 'net.snowflake.client.jdbc.SnowflakeSQLException: SQL execution error: String '. ' is too long (maximum is 16777216)'. Which of the following is the most likely cause and how can it be resolved using Spark Connector?

A. Option A
B. Option B
C. Option E
D. Option C
E. Option D

Answer: E

Explanation:
The error message clearly states that a string is too long. While options A might seem plausible, it is better to pre-process data on spark using 0, 16777216))'. This helps to ensure data conforms to the desired constraints before reaching snowflake. Option B addresses performance, but is not a root cause of the error. Option C relates to nulls but the error message is for maximum string length.

NEW QUESTION # 327
You are tasked with creating a development environment from a production database named 'PROD DB'. This database contains sensitive data, and you need to mask the data in the development environment. You decide to use cloning and a transformation function during the cloning process. What is the MOST efficient approach to clone 'PROD DB' into a development database 'DEV DB' and mask sensitive data in the process?

A. Clone 'PROD to ' DEV DB'. Export the data from 'DEV DB', transform it using a scripting language (e.g., Python), and then load the transformed data back into replacing the original data.
B. Create a clone of 'PROD named 'DEV DB'. Create a warehouse for running masking policies. Then apply masking policies to the tables in 'DEV DB' Cloning masks the underlying data directly.
C. Create a clone of 'PROD named 'DEV DB'. Create stored procedures on 'DEV DB' which apply masking at the query level. Cloning databases does not preserve masking policies from the Source database
D. Create a clone of 'PROD named 'DEV DB'. Define masking policies on the columns in 'PROD DB' before cloning. These policies will be automatically applied to the cloned tables in "DEV_DB' ensuring all data is masked during query time in the DEV environment.
E. Create a clone of 'PROD named 'DEV DB', then create views on 'DEV DB' using masking policies. Cloning the Views from 'PROD will automatically copy the masking policies.

Answer: D

Explanation:
Masking policies defined on the original database will be applied to the cloned tables. Cloning does not directly mask data physically. Instead, the masking policies are applied to the cloned objects. Therefore, the most efficient approach is to define masking policies on PROD_DB before cloning to DEV DB, ensuring data masking from the start in the DEV environment. This approach provides data protection immediately after the clone is created.

NEW QUESTION # 328
Consider a scenario where you have a Snowflake table named 'CUSTOMER DATA' containing customer IDs (INTEGER) and encrypted credit card numbers (VARCHAR). You need to create a secure JavaScript UDF to decrypt these credit card numbers using a custom encryption key stored securely within Snowflake's internal stage, and then mask all but the last four digits of the decrypted number for data protection. Which of the following actions are necessary to ensure both functionality and security while adhering to Snowflake's best practices for UDF development and security?

A. Store the encryption key directly within the JavaScript UDF code as a string variable.
B. Encrypt the key using a weaker encryption algorithm before storing it in an internal stage to balance security and performance.
C. Pass the encryption key as an argument to the UDF each time it is called.
D. Use Snowflake's Secure Vault (Secret) feature to store the encryption key and retrieve it securely within the UDF.
E. Store the encryption key in a separate file on an internal stage accessible only by the UDF's service account and load the key from the file within the UDF at runtime.

Answer: D,E

Explanation:
Options B and D are the correct answers. Option B - Storing the encryption key in a file on an internal stage, accessible only by the UDF's service account, is a secure way to manage the key. Option D - Snowflake's Secure Vault (Secret) feature is designed specifically for securely storing and managing sensitive information like encryption keys. This is the most recommended approach. Options A and C are insecure and should be avoided. Option E defeats the purpose of encryption.

NEW QUESTION # 329
......

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