Mock Tests for NISM Exam & Courses

Rick Hall Rick Hall

0 Course Enrolled • 0 Course Completed

Biography

Pass Guaranteed Quiz Fantastic Snowflake - DEA-C02 - SnowPro Advanced: Data Engineer (DEA-C02) Reliable Braindumps Questions

The users can instantly access the product after purchasing it from Pass4Leader, so they don't have to wait to prepare for the DEA-C02 Exams. The 24/7 support system is available for the customers, so they can contact the support whenever they face any issue, and it will provide them with the solution. Furthermore, Pass4Leader offers up to 1 year of free updates and free demos of the product.

Our DEA-C02 quiz torrent can provide you with a free trial version, thus helping you have a deeper understanding about our DEA-C02 test prep and estimating whether this kind of study material is suitable to you or not before purchasing. With the help of our trial version, you will have a closer understanding about our DEA-C02 exam torrent from different aspects, ranging from choice of three different versions available on our test platform to our after-sales service. Otherwise you may still be skeptical and unintelligible about our DEA-C02 Test Prep. So as you see, we are the corporation with ethical code and willing to build mutual trust between our customers.

>> DEA-C02 Reliable Braindumps Questions <<

DEA-C02 Test Quiz - Valid DEA-C02 Exam Cram

Will you feel that the product you have brought is not suitable for you? One trait of our DEA-C02 exam prepare is that you can freely download a demo to have a try. Because there are excellent free trial services provided by our DEA-C02 exam guides, our products will provide three demos that specially designed to help you pick the one you are satisfied. We will inform you that the DEA-C02 Study Materials should be updated and send you the latest version in a year after your payment. We will also provide some discount for your updating after a year if you are satisfied with our DEA-C02 exam prepare.

Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions (Q254-Q259):

NEW QUESTION # 254
You are tasked with implementing column-level security on the 'EMPLOYEE table to restrict access to the 'SALARY column. Only users with the 'HR ROLE' should be able to view the actual salary. All other users should see NULL. You create a masking policy as follows:

What additional steps are necessary to enforce this policy?

A. Grant the SELECT privilege on the EMPLOYEE table to the HR ROLE.
B. Grant OWNERSHIP on the masking policy to the HR ROL
C. Grant the APPLY MASKING POLICY privilege to the HR_ROLE.
D. Apply the masking policy to the SALARY column: ALTER TABLE EMPLOYEE MODIFY COLUMN SALARY SET MASKING POLICY salary_mask;
E. Apply the masking policy to the EMPLOYEE table: ALTER TABLE EMPLOYEE SET MASKING POLICY salary_mask;

Answer: D

Explanation:
The masking policy itself defines the logic, but it needs to be applied to the specific column. The 'ALTER TABLE ... MODIFY COLUMN ... SET MASKING POLICY statement is the correct way to associate the policy with the 'SALARY column. Option A is incorrect because APPLY MASKING POLICY is required only if the policy needs to reference another object that the user does not own. Options C, D and E are unrelated to correctly applying a masking policy at the column level.

NEW QUESTION # 255
You are using Snowpark to perform a complex join operation between two large tables: 'ORDERS (1 OOGB) and 'CUSTOMER (50GB). The join is performed on 'ORDERS.CUSTOMER ID = CUSTOMER.ID. The query is running slower than expected. You have already confirmed that the warehouse size is adequate. Which of the following strategies, applied in combination , would most likely improve the join performance within a Snowpark context?

A. Use 'session.add_import to add external JAR dependencies. This would enable use of external libraries and improve performance.
B. Analyze the query profile in Snowflake's web UI to identify the specific bottleneck (e.g., excessive data spilling, high CPU utilization) and address it directly.
C. Use Snowpark's 'hint function to force a broadcast join, assuming the 'CUSTOMER table can fit into memory on the worker nodes.
D. Ensure both tables are clustered on the join keys CORDERS.CUSTOMER_ID' and 'CUSTOMER.ID').
E. Increase the 'AUTO RESIZE' setting on the warehouse to automatically scale up the warehouse size when the load increases.

Answer: B,D

Explanation:
Options A and D are the most effective in combination. Clustering both tables on the join keys allows Snowflake to efficiently locate and join related rows, drastically reducing the amount of data that needs to be scanned. Analyzing the query profile (D) allows you to pinpoint the exact bottleneck. Broadcasting the customer table might help if it's small enough (B), but it's risky without proper analysis. Auto-resizing (C) might help but is not a targeted solution and can lead to higher costs. Importing JARs (E) is unrelated to core join performance optimization unless custom join logic is needed which it isn't in this case.

NEW QUESTION # 256
You have an external table in Snowflake pointing to data in Azure Blob Storage. The data consists of customer transactions, and new files are added to the Blob Storage daily You want to ensure that Snowflake automatically picks up these new files and reflects them in the external table without manual intervention. However, you are observing delays in Snowflake detecting the new files. What are the potential reasons for this delay and how can you troubleshoot them? (Choose two)

A. The storage integration associated with the external table does not have sufficient permissions to access the Blob Storage.
B. The file format used for the external table is incompatible with the data files in Blob Storage.
C. Snowflake's internal cache is not properly configured; increasing the cache size will solve the problem.
D. The external table's 'AUTO_REFRESH' parameter is set to 'FALSE', which disables automatic metadata refresh.
E. The Azure Event Grid notification integration is not properly configured to notify Snowflake about new file arrivals in the Blob Storage.

Answer: D,E

Explanation:
The two primary reasons for delays in Snowflake detecting new files in an external table are: 1) Incorrect configuration of the cloud provider's notification service (Azure Event Grid in this case). Snowflake relies on these notifications to be informed about new file arrivals. If the integration isn't set up correctly, Snowflake won't know when to refresh the metadata. 2) The parameter must be set to ' TRUE' for automatic metadata refresh to occur. If it's set to FALSE , manual refreshes are required using 'ALTER EXTERNAL TABLE ... REFRESH". Options D and E, although possible issues, won't directly cause a delay in detecting new files, but rather cause issues accessing files after detection. Option C is irrelevant as Snowflake's caching mechanism does not directly impact external table metadata refresh.

NEW QUESTION # 257
You are designing a data product for the Snowflake Marketplace that provides daily weather forecasts. You need to ensure that consumers of your data receive the latest forecast data every morning automatically with minimal latency. Which of the following strategies offers the MOST efficient and cost-effective solution for updating the shared data?

A. Create a scheduled task that executes a full refresh of the shared tables every morning at 6 AM. This task uses CREATE OR REPLACE TABLE AS SELECT to rebuild the tables with the latest forecast data.
B. Create a stored procedure that truncates and reloads the shared tables with the latest forecast data from a staging table. Schedule this stored procedure to run every morning at 6 AM using a Snowflake task.
C. Implement a continuous data pipeline using Snowflake Streams and Tasks to incrementally update the shared tables as new forecast data becomes available. The stream tracks changes and tasks apply those changes to the shared tables.
D. Share the raw data files stored in an external stage with the consumers. Consumers will then need to create their own pipelines to process and load the data.
E. Manually upload a new CSV file containing the latest forecast data to a Snowflake stage and then load it into the shared tables every morning at 6 AM.

Answer: C

Explanation:
Using Streams and Tasks for incremental updates (option B) is the most efficient and low-latency solution. It minimizes data processing time and cost compared to full refreshes (options A and C). Manual uploads (option D) are not automated. Sharing raw data files (option E) puts the burden of data processing on the consumer, which is less desirable for a data product.

NEW QUESTION # 258
A data engineer is tasked with processing a large dataset of customer orders using Snowpark Python. The dataset contains a column stored as a string in 'YYYY-MM-DD HH:MI:SS' format. They need to create a new DataFrame with only the orders placed in the month of January 2023. Which of the following code snippets achieves this most efficiently, considering potential data volume and query performance?

Answer: A

Explanation:
Option C is the most efficient. While all the options might produce the correct result, Option C directly converts the string to a DATE type and uses the 'months and 'year' functions. Option A, B and E are inefficient as 'like', 'substring' and 'startswith' will not leverage date-related optimizations. Option D has a similar approach as C, but creates two filtering steps insted of one with 'to date', which could impacts performance.

NEW QUESTION # 259
......

The valid updated, and real Snowflake DEA-C02 PDF questions and both practice test software are ready to download. Just take the best decision of your professional career and get registered in Snowflake DEA-C02 certification exam and start this journey with Pass4Leader DEA-C02 exam PDF dumps and practice test software. All types of Snowflake Exam Questions formats are available at the best price.It will enable you to perform well in the final DEA-C02 Exam. Pass4Leader offers DEA-C02 exam study material in the three best formats. Snowflake DEA-C02 Exam Questions, Web-based and desktop practice exam software. All these formats play a vital role in your Snowflake DEA-C02 exam preparation process.

DEA-C02 Test Quiz: https://www.pass4leader.com/Snowflake/DEA-C02-exam.html

Believe it or not that up to you, our DEA-C02 training materials are powerful and useful, it can solve all your stress and difficulties in reviewing the DEA-C02 exams, Our DEA-C02 exam questions can meet your needs to the maximum extent, and our DEA-C02 learning materials are designed to the greatest extent from the customer's point of view, When using our DEA-C02 training materials, all the operations of the DEA-C02 learning material of can be applied perfectly.

We believe that hiring the right people is a manager's New DEA-C02 Exam Question most important responsibility, After looking at the numbers, I tend to think not, Believe it or notthat up to you, our DEA-C02 training materials are powerful and useful, it can solve all your stress and difficulties in reviewing the DEA-C02 Exams.

SnowPro Advanced: Data Engineer (DEA-C02) Valid Exam Materials & SnowPro Advanced: Data Engineer (DEA-C02) Latest pdf vce & SnowPro Advanced: Data Engineer (DEA-C02) Exam Practice Demo

Our DEA-C02 exam questions can meet your needs to the maximum extent, and our DEA-C02 learning materials are designed to the greatest extent from the customer's point of view.

When using our DEA-C02 training materials, all the operations of the DEA-C02 learning material of can be applied perfectly, With the simulation test, all of our customers will have an access to get accustomed to the SnowPro Advanced: Data Engineer (DEA-C02) DEA-C02 exam atmosphere and get over all of bad habits which may influence your performance in the real SnowPro Advanced: Data Engineer (DEA-C02) exam.

Almost everyone is trying to get SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) certification to update their CV or get the desired job.