Snowflake DEA-C02 valid exam dumps : SnowPro Advanced: Data Engineer (DEA-C02)

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Snowflake DEA-C02 Exam Syllabus Topics:

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

1. A financial institution needs to implement both dynamic data masking and column-level security on the 'CUSTOMER DATA table, which contains sensitive information like 'CREDIT CARD NUMBER and 'SSN'. The requirement is: all users except those in the 'DATA ADMIN' role should see masked credit card numbers (last 4 digits unmasked) and masked SSNs. Users in 'DATA ADMIN' should see the original data'. Which of the following combination of policies and grants will achieve this?

A) Create two masking policies: one for 'CREDIT CARD NUMBER and another for 'SSN'. Apply masking policies to the appropriate columns. Create a custom role with the 'APPLY MASKING POLICY privilege, grant this custom role to the 'DATA_ADMIN' role. Grant SELECT privilege on the table to PUBLIC.
B) Create two masking policies: one for 'CREDIT CARD NUMBER' and another for 'SSN'. Grant APPLY MASKING POLICY privilege to the 'DATA ADMIN' role and then apply masking policies to the appropriate columns. Grant SELECT privilege on the table to PUBLIC.
C) Create two masking policies: one for 'CREDIT CARD NUMBER and another for 'SSN' using the 'CASE' statement to apply masking logic based on the current_role(). Apply masking policies to the appropriate columns. Grant SELECT privilege on the table to PUBLIC.
D) Create two masking policies: one for 'CREDIT CARD NUMBER' and another for 'SSN'. Grant APPLY MASKING POLICY privilege to the 'DATA ADMIN' role. Do not grant any SELECT privileges on the table.
E) Create two masking policies: one for 'CREDIT CARD NUMBER' and another for 'SSN'. Grant APPLY MASKING POLICY privilege to the 'DATA ADMIN' role. Apply masking policies to the appropriate columns. Grant SELECT privilege on the table to PUBLI

2. You have implemented a masking policy on the 'EMAIL' column of a 'USERS' table. The policy masks the email address for all users except those with the 'SUPPORT' role. You now need to grant the 'SELECT' privilege on this table to a new role, 'ANALYST. You want to ensure that the masking policy continues to work as expected for the 'ANALYST' role. Which of the following SQL statements should you execute?

A)

B)

C)

D)

E)

3. Consider a table with columns and 'customer _ region'. You want to implement both a Row Access Policy (RAP) and an Aggregation Policy on this table. The RAP should restrict access to orders based on the user's region, defined in a session variable 'CURRENT REGION'. Users should only see orders from their region. The Aggregation Policy should mask order totals for regions other than the user's region when aggregating data'. In other words if someone attempts to aggregate ALL region's totals, the aggregation will only include their region. Which statements about implementing this scenario are true?

A) You can use the function within both the RAP and Aggregation Policy to control access based on user roles in addition to region.
B) Using external functions in RAPs can introduce performance overhead, especially if the external function is complex or slow to execute.
C) You cannot use session variables directly in Row Access Policies; you must pass the session variable as an argument to a user-defined function (UDF) called by the policy.
D) The Aggregation Policy is evaluated before the RAP, ensuring that even if users try to bypass the RAP by aggregating across all regions, the results will be masked appropriately according to 'CURRENT REGION'.
E) The RAP should be applied first to filter the data, and then the Aggregation Policy will apply to the filtered data, only masking aggregated values within the user's region.

4. You have configured a replication group to replicate a database 'CUSTOMER DATA' from your primary Snowflake account (AWS us- east-I) to your secondary Snowflake account (Azure eastus). After a recent network outage, the replication process stopped. Upon investigation, you find that some tables in the 'CUSTOMER DATA' database in the primary account have been modified (schema changes). You need to resume replication and ensure data consistency in the secondary account, with minimal impact on users querying the secondary database. Which of the following commands or sequence of commands would be the MOST appropriate to refresh the secondary database while minimizing downtime for query users?

A) Suspend the replication group with 'ALTER REPLICATION GROUP SUSPEND;' Then execute the following: 'ALTER DATABASE ENABLE REPLICATION TO ACCOUNT ALTER REPLICATION GROUP RESUME;'
B) Issue a 'ALTER REPLICATION GROUP REFRESH$ command. This will automatically handle schema changes and resume replication.
C) Issue a 'ALTER DATABASE REFRESH FROM command. This command automatically handles schema changes and ensures data consistency with minimal downtime.
D) First, pause all running queries on the secondary account. Then, execute a full refresh using 'ALTER DATABASE REFRESH FROM Finally, resume the queries on the secondary account.
E) First, suspend the replication group with 'ALTER REPLICATION GROUP SUSPEND;'. Then, drop the secondary database 'DROP DATABASE . Finally, recreate the secondary database as a replica: 'CREATE DATABASE AS REPLICA OF and resume the replication group 'ALTER REPLICATION GROUP RESUME;'.

5. You are using the Snowflake Developer API to automate the creation and management of masking policies. You need to create a masking policy that masks an email address using SHA256 hashing. You also want to ensure that the policy can be applied to multiple tables and columns without modification. Assuming you have already established a connection to Snowflake using the Developer API, which of the following code snippets BEST demonstrates how to create and apply this masking policy using Python?

A) Option E
B) Option A
C) Option C
D) Option B
E) Option D

Solutions: