100% Pass 2025 Accurate Snowflake DEA-C02: Reliable SnowPro Advanced: Data Engineer (DEA-C02) Test Bootcamp

Blog Article

Tags: Reliable DEA-C02 Test Bootcamp, Detailed DEA-C02 Study Dumps, Test DEA-C02 Sample Online, Reliable DEA-C02 Study Guide, Exam DEA-C02 Answers

Applicants of the DEA-C02 test who invest the time, effort, and preparation with updated DEA-C02 questions eventually get success. Without the latest SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) exam dumps, candidates fail the test and waste their time and money. As a result, preparing with actual DEA-C02 Questions is essential to clear the test.

Only if you pass the exam can you get a better promotion. And if you want to pass it more efficiently, we must be the best partner for you. Because we are professional DEA-C02 questions torrent provider, we are worth trusting; because we make great efforts, we do better. Here are some reasons to choose us. The DEA-C02 Exam Torrent can prove your ability to let more big company to attention you. Then you have more choice to get a better job and going to suitable workplace.

>> Reliable DEA-C02 Test Bootcamp <<

Detailed DEA-C02 Study Dumps | Test DEA-C02 Sample Online

As we all know, in the highly competitive world, we have no choice but improve our software power, such as international DEA-C02 certification, working experience, educational background and so forth. Therefore, it is of great significance to have a DEA-C02 certificate in hand to highlight your resume, thus helping you achieve success in your workplace. So with our DEA-C02 Preparation materials, you are able to pass the exam more easily in the most efficient and productive way and learn how to study with dedication and enthusiasm. There are many advantages of our DEA-C02 guide torrent.

Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions (Q348-Q353):

NEW QUESTION # 348
You are designing a data protection strategy for a Snowflake database. You need to implement dynamic data masking on the 'CREDIT CARD' column in the 'TRANSACTIONS' table. The requirement is that users with the 'FINANCE ADMIN' role should see the full credit card number, while all other users should see only the last four digits. You have the following masking policy:

What is the next step to apply this masking policy to the 'CREDIT CARD' column?

Answer: C

Explanation:
The correct syntax to apply a masking policy to a column in Snowflake is SALTER TABLE ALTER COLUMN SET MASKING POLICY ' . Therefore, option B is the correct answer.

NEW QUESTION # 349
You are tasked with managing a large Snowflake table called 'TRANSACTIONS'. Due to compliance requirements, you need to archive data older than one year to long-term storage (AWS S3) while ensuring the queries against the current 'TRANSACTIONS' table remain performant. What is the MOST efficient strategy using Snowflake features and considering minimal impact on query performance?

A. Create a new table 'TRANSACTIONS_ARCHIVE in Snowflake, copy the historical data, and then delete the archived data from the 'TRANSACTIONS table.
B. Export the historical data to S3 using COPY INTO, truncate the 'TRANSACTIONS' table, and then create an external table pointing to the archived data in S3.
C. Partition the 'TRANSACTIONS table by date. Export the old partitions of the 'TRANSACTIONS' table to S3 using COPY INTO. Then, drop the old partitions from the 'TRANSACTIONS table and create an external table that points to the data in S3.
D. Create an external table pointing to S3. Then create new table named 'TRANSACTIONS_ARCHIVE in Snowflake, copy the historical data from 'TRANSACTIONS' table into 'TRANSACTIONS ARCHIVE, and then delete the archived data from the 'TRANSACTIONS' table.
E. Use Time Travel to clone the "TRANSACTIONS' table to a point in time one year ago. Then, export the cloned table to S3 and drop the cloned table. Delete the archived data from the 'TRANSACTIONS table.

Answer: B

Explanation:
Option B is the most efficient. Using 'COPY INTO' to export to S3 is a fast and optimized way to move data. Truncating the table is faster than deleting a large number of rows. Creating an external table allows you to query the archived data in S3 if needed, without ingesting it into Snowflake. Options A & C create another Snowflake table which will consume snowflake credits and storage, which might be costly for a long term storage. Option D cloning is an expensive operation. Option E Partitioning in Snowflake is not natively supported, and would require manual management using external tables and views.

NEW QUESTION # 350
A Snowflake data warehouse contains a table named 'SALES TRANSACTIONS' with the following columns: 'TRANSACTION ID', 'PRODUCT D', 'CUSTOMER D', 'TRANSACTION DATE, and 'SALES AMOUNT'. You need to optimize a query that calculates the total sales amount per product for a given month. The 'SALES TRANSACTIONS' table is very large (billions of rows), and queries are slow. Given the following initial query: SELECT PRODUCT ID, SUM(SALES AMOUNT) AS TOTAL SALES FROM SALES TRANSACTIONS WHERE TRANSACTION DATE BETWEEN '2023-01-07' AND '2023-01-31' GäOUP BY PRODUCT ID; Which of the following actions, when combined, would MOST effectively improve the performance of this query?

A. Increase the virtual warehouse size to the largest available size.
B. Create a temporary table with the results of the query and query that table instead.
C. Create a materialized view that pre-aggregates the total sales amount per product and month.
D. Create a clustering key on 'PRODUCT_ID and 'TRANSACTION_DATE columns in the 'SALES_TRANSACTIONS' table.
E. Convert the column to a VARCHAR data type.

Answer: C,D

Explanation:
Creating a clustering key on 'PRODUCT ID and 'TRANSACTION DATE' allows Snowflake to efficiently prune micro-partitions based on the date range filter, and then quickly group by "PRODUCT_ID. A materialized view pre-aggregates the data, significantly reducing the amount of computation required at query time. While increasing the warehouse size might provide some improvement, it is not the most efficient solution. Converting 'TRANSACTION_DATE to VARCHAR is detrimental. Using a temporary table is not necessarily an optimization.

NEW QUESTION # 351
You are implementing a data share between two Snowflake accounts. The provider account wants to grant the consumer account access to a function that returns anonymized customer data based on a complex algorithm. The provider wants to ensure that the consumer cannot see the underlying implementation details of the anonymization algorithm. Which of the following approaches can achieve this goal? (Select TWO)

A. Create an external function in the provider account and grant usage to the share. Share the share with the consumer account.
B. Create a standard UDF in the provider account and grant usage on the UDF to the share. Share the share with the consumer account.
C. Create a view that calls the secure UDF and share that view with the consumer account.
D. Share the underlying table and provide the consumer account with the anonymization algorithm separately.
E. Create a secure UDF in the provider account and grant usage on the secure UDF to the share. Share the share with the consumer account.

Answer: C,E

Explanation:
A secure UDF hides the underlying implementation details from the consumer. Option 'A' achieves this directly. Creating a view (Option 'D') that calls the secure UDF provides another layer of abstraction, further protecting the algorithm's implementation. A standard UDF (Option B) does not hide the implementation. Sharing the table directly (Option C) defeats the purpose of anonymization. While external functions exist (Option E), they would be unnecessarily complex in this scenario, which can be achieved natively through secure UDF and View combination.

NEW QUESTION # 352
A financial services company is using Snowflake Streams on a table 'TRANSACTIONS' to capture changes for auditing purposes. The 'TRANSACTIONS' table contains sensitive data, and the auditing team requires the stream to only capture changes to specific columns: 'ACCOUNT ID', 'TRANSACTION DATE', and 'TRANSACTION AMOUNT'. Which of the following approaches is the MOST efficient and secure way to achieve this requirement, ensuring minimal performance impact and data exposure?

A. Create a task that clones the TRANSACTIONS table and a stream on that cloned table, limiting what changes are captured using a WHERE clause on the cloning command.
B. Create a View that selects only the 'ACCOUNT ID, 'TRANSACTION DATE, and 'TRANSACTION AMOUNT columns and create a Stream on the View.
C. Create a Stream on the 'TRANSACTIONS' table and use a masking policy on the stream's output to redact the unnecessary columns.
D. Create a standard Stream on the 'TRANSACTIONS table and then filter the results in downstream processing to only include the required columns.
E. Create a Stream on the 'TRANSACTIONS' table. Periodically truncate stream and reload all data from TRANSACTION table by applying filter while loading.

Answer: B

Explanation:
Creating a View that selects only the required columns and then creating a Stream on the View is the most efficient and secure approach. It limits the data exposed to the Stream from the outset, minimizing performance impact and ensuring that sensitive data is not unnecessarily captured in the Stream. Option A exposes all columns initially, which violates security. Option C masks data after it's been captured, still exposing it to the stream. Option D would lose change tracking and reloads all data instead of only changes and E can lead to data duplication.

NEW QUESTION # 353
......

Our DEA-C02 training materials have been honored as the panacea for the candidates for the exam since all of the contents in the DEA-C02 guide quiz are the essences of the exam. There are detailed explanations for some difficult questions in our DEA-C02 exam practice. Consequently, with the help of our DEA-C02 Study Materials, you can be confident that you will pass the exam and get the related certification as easy as rolling off a log. So what are you waiting for? Just take immediate actions!

Detailed DEA-C02 Study Dumps: https://www.validdumps.top/DEA-C02-exam-torrent.html

Snowflake Reliable DEA-C02 Test Bootcamp After the candidates buy our products, we can offer our new updated materials for your downloading one year for free, Snowflake Reliable DEA-C02 Test Bootcamp The complex portions have been explained with the help of real life based examples, Our experts will spare no effort to collect the latest information about the IT exam, and then they will compile these useful resources into our Snowflake DEA-C02 study materials immediately, Snowflake Reliable DEA-C02 Test Bootcamp Your questions & problems will be solved in 2 hours.

This field is used to identify traffic flows, Meaningful improvement will Test DEA-C02 Sample Online not occur unless the organization follows through by implementing the results of the evaluation and managing its information security risks.

Get Special Discount on Snowflake DEA-C02 Exam Dumps

After the candidates buy our products, we can offer our new updated DEA-C02 Materials for your downloading one year for free, The complex portions have been explained with the help of real life based examples.

Our experts will spare no effort to collect the latest information about the IT exam, and then they will compile these useful resources into our Snowflake DEA-C02 study materials immediately.

Your questions & problems will be solved in 2 hours, It will be a reasonable choice for our DEA-C02 quiz braindumps materials along with benefits.

Report this page

100% PASS 2025 ACCURATE SNOWFLAKE DEA-C02: RELIABLE SNOWPRO ADVANCED: DATA ENGINEER (DEA-C02) TEST BOOTCAMP

100% Pass 2025 Accurate Snowflake DEA-C02: Reliable SnowPro Advanced: Data Engineer (DEA-C02) Test Bootcamp