Ryan Richards Ryan Richards's Profile Page

Ryan Richards Ryan Richards

0 Course Enrolled • 0 Course Completed

Biography

Reliable DEA-C02 Test Book | Latest DEA-C02 Dumps Sheet

P.S. Free 2026 Snowflake DEA-C02 dumps are available on Google Drive shared by TorrentValid: https://drive.google.com/open?id=1NGbhDk3CImqDRUFQ2aQLloqp1HID5cOw

If you buy our DEA-C02 study torrent, we will provide 24-hour online efficient service for you. You can consult any questions about our DEA-C02 study materials that you meet, and communicate with us at any time you want. Of course, if you are so busy that you have no time to communicate with us online, don't worry, you can try to tell us your problems about our DEA-C02 Guide materials by an email at any time; you will receive an email immediately from the customer service. As a word, I believe the 24-hour online efficient service will help you solve all problems to help you pass the exam.

The DEA-C02 pdf format of the TorrentValid product is easy-to-use. It contains actual SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) exam questions. You can easily download and use Snowflake DEA-C02 pdf on laptops, tablets, and smartphones. TorrentValid regularly updates DEA-C02 Exam Questions' pdf version so that you always have the latest material. Furthermore, the Snowflake DEA-C02 pdf can be printed enabling paper study.

>> Reliable DEA-C02 Test Book <<

Latest Snowflake DEA-C02 Dumps Sheet - DEA-C02 Valid Exam Blueprint

Never stop challenging your limitations. If you want to dig out your potentials, just keep trying. Repeated attempts will sharpen your minds. Maybe our DEA-C02 learning quiz is suitable for you. We strongly advise you to have a brave attempt. You will own a wonderful experience after you learning our DEA-C02 Guide practice. As the leader in this career, we have been considered as the most popular exam materials provider. And our DEA-C02 practice questions will bring you 100% success on your exam.

Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions (Q190-Q195):

NEW QUESTION # 190
A Snowflake data engineer is troubleshooting a slow-running query that joins two large tables, 'ORDERS' (1 billion rows) and 'CUSTOMER' (10 million rows), using the 'CUSTOMER ID' column. The query execution plan shows a significant amount of data spilling to local disk. The query is as follows:

Which of the following are the MOST likely root causes of the disk spilling and the best corresponding solutions? Select two options that directly address the disk spilling issue.

A. The 'CUSTOMER_ID column is not properly clustered in either the 'ORDERS' or 'CUSTOMER table. Define a clustering key on 'CUSTOMER_ID for both tables.
B. The query is performing a full table scan on the 'ORDERS' table. Add an index on the 'CUSTOMER ID column in the 'ORDERS table.
C. The statistics on the tables are outdated. Run 'ANALYZE TABLE ORDERS' and 'ANALYZE TABLE CUSTOMER to update the statistics.
D. The virtual warehouse is undersized for the amount of data being processed. Increase the virtual warehouse size to provide more memory.
E. The join operation is resulting in a large intermediate result set that exceeds the available memory. Apply a filter on the 'ORDERS' table to reduce the data volume before the join.

Answer: D,E

Explanation:
Options A and D are the most direct solutions for disk spilling. A undersized warehouse directly impacts available memory, leading to disk spilling. Increasing the warehouse size (option A) provides more memory for the operation. When data spill happens increasing the warehouse size is the primary action to take. Option D correctly addresses the root cause of the spill an overly large intermediate result set. Reducing the data volume before the join minimizes the memory required. Option B could improve query performance overall, but doesn't directly address disk spilling. Option C is incorrect, as Snowflake does not support manual indexes. Option E would improve the accuracy of the query optimizer's decisions, which could indirectly improve performance, but is less direct than options A and D.

NEW QUESTION # 191
A healthcare provider wants to share patient data with a research organization, but must ensure that researchers only have access to records from a specific region ('REGION A') and only see anonymized data'. You have a 'patients' table with columns 'patient_id' , 'region', 'dob', 'medical history', and 'ssn'. Which of the following steps would be MOST effective and secure for implementing row- level filtering and data masking for this data sharing scenario, minimizing administrative overhead and maximizing query performance?

A. Create a standard VIEW on the 'patients' table with a WHERE clause filtering by 'region = 'REGION_A". Create a separate table containing only the anonymized data for 'REGION_A' and grant access to this separate table to the research organization's role.
B. Create a stored procedure that filters the 'patients' table based on the region and applies masking policies. The stored procedure writes the filtered and masked data to a new table. Grant access to the new table to the research organization's role.
C. Create a secure VIEW on the 'patients' table with a WHERE clause filtering by 'region = 'REGION_A" and use masking policies to redact sensitive fields. Grant access to the secure view to the research organization's role.
D. Create a policy tag on the 'region' column restricting access to 'REGION_A' and apply masking policies directly on the 'patients' table. Grant access to the patientS table to the research organization's role.
E. Create a VIEW on the 'patients' table with a WHERE clause filtering by 'region = and use masking policies to redact sensitive fields. Grant access to the view to the research organization's role.

Answer: C

Explanation:
Using a secure VIEW is the most efficient and secure method. It provides row-level filtering (REGION_A) and masking policies, while secure views prevent access to the underlying table's data lineage even with ACCOUNTADMIN privileges. This is preferable to standard views because standard views can expose the underlying table structure. Stored procedures add unnecessary complexity, a separate table duplicates data, and policy tags require governance roles and don't, on their own, handle masking requirements. Also, creating a separate table results in duplicated data and is not efficient and secure and adds administrative overhead.

NEW QUESTION # 192
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' 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.
B. 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.
C. 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
D. 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.
E. 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.

Answer: A

Explanation:
Option E correctly implements both dynamic data masking and column-level security. The 'CASE statement within the masking policy allows for different masking logic based on the current role. Granting SELECT to PUBLIC allows all users access to the table, while the masking policy controls what they see. Options A, B, C and D fails to implement either correct masking logic within policies or proper grant structure.

NEW QUESTION # 193
You have a table named 'ORDERS' with a column 'ORDER DETAILS' that contains JSON data'. You want to extract a specific nested value ('customer id') from this JSON data using a SQL UDE The JSON structure varies, and sometimes the 'customer id' field might be missing. You need to create a UDF that handles missing fields gracefully and returns NULL if 'customer id' is not found. Also, You are looking for a performant solution that is highly scalable. Which of the following SQL UDF definitions is most appropriate?

Answer: C

Explanation:
Option B is the most appropriate because it uses 'NVL' to explicitly handle the case where is NULL, returning NULL in such cases. This prevents errors and ensures graceful handling of missing data. Option A would result in an error if the key doesn't exist in the JSON. Option C is more verbose but also handles NULLs, but NVL provides a more concise solution and it doesnt handle invalid JSON structures. Option D uses 'PARSE JSON' on a 'VARCHAR input, which is less efficient than using 'VARIANT' directly. Option E: TRY_PARSE_JSON returns NULL, and cant get to customer_id. This question tests understanding of JSON handling, NULL handling, and performance considerations when working with semi-structured data in Snowflake UDFs. It also requires knowledge on the appropriate data type to define UDF arguments and expected return type.

NEW QUESTION # 194
A data engineering team is managing a Snowflake warehouse that supports a high volume of ad-hoc queries from data analysts exploring a large, semi-structured JSON dataset containing website clickstream data'. The query performance is frequently slow, and analysts are complaining about long wait times. The warehouse is already sized appropriately. You have identified that many of the queries filter on nested JSON attributes that are not explicitly indexed. Considering only query acceleration service features, what is the MOST effective approach to improve query performance for these ad-hoc queries without modifying the queries themselves or significantly increasing storage costs?

A. Create a dedicated virtual warehouse specifically for ad-hoc queries, and enable query acceleration on this warehouse.
B. Enable Automatic Clustering on the table to improve data organization based on query patterns.
C. Use a combination of materialized views and query acceleration for best performance.
D. Enable the Materialized View feature to create materialized views over the frequently queried nested JSON attributes.
E. Enable Search Optimization Service for the table containing the JSON data. Selectively enable search optimization on the specific columns and nested paths that are frequently used in WHERE clause predicates.

Answer: E

Explanation:
Search Optimization Service is designed specifically to improve query performance on semi-structured data and complex predicates, especially on JSON data. It automatically creates and maintains search access paths, including paths for nested JSON attributes, enabling faster filtering and retrieval of relevant data. Materialized Views are beneficial, but require creation and maintenance, and might not be ideal for ad-hoc queries. Automatic Clustering helps with data organization, but its impact on complex JSON queries might be limited. Using Query Acceleration alone requires a larger warehouse and may not address the underlying issue of unoptimized queries on semi-structured data. While a dedicated warehouse is a good practice, it does not address the underlying performance issue related to JSON queries.

NEW QUESTION # 195
......

Our company sells three kinds of DEA-C02 guide torrent online whose contents are definitely same as each other, including questions and answers. The only distinct thing is that they have different ways to use. The PDF format of DEA-C02 exam torrent is easy to download, prints, and browse learning, which can be printed on paper and can make notes anytime. You can learn anywhere, repeated practice, and use in unlimited number of times. SOFT/PC test engine of DEA-C02 exam applies to Windows system computers. It can simulate the real operation test environment. The number of Download and install are unlimited. The number of computers of using DEA-C02 Questions torrent is unlimited too. App/online test engine of the DEA-C02 guide torrent is designed based on a Web browser, as long as a browser device is available. It has the functions of simulating examination, limited-timed examination and online error correcting.

Latest DEA-C02 Dumps Sheet: https://www.torrentvalid.com/DEA-C02-valid-braindumps-torrent.html

With a bunch of experts who are intimate with exam at hand, our DEA-C02 practice materials are becoming more and more perfect in all aspects, As a professional IT exam torrent provider, GuideTorrent.com gives you more than just certification guide for DEA-C02 - SnowPro Advanced: Data Engineer (DEA-C02) exam, Besides, our DEA-C02 practice exam simulation training designed by our team can make you feel the atmosphere of the formal test and you can master the time of DEA-C02 exam questions, DEA-C02 exam training dumps has contents covering most of the key points, which is the best reference for your preparation.

They will see the reality of software development DEA-C02 done in a craftsmanship fashion, Find someone who has done it before and spend time with him or her, With a bunch of experts who are intimate with exam at hand, our DEA-C02 practice materials are becoming more and more perfect in all aspects.

100% Pass Rate Reliable DEA-C02 Test Book - 100% Pass DEA-C02 Exam

As a professional IT exam torrent provider, GuideTorrent.com gives you more than just certification guide for DEA-C02 - SnowPro Advanced: Data Engineer (DEA-C02) exam, Besides, our DEA-C02 practice exam simulation training designed by our team can make you feel the atmosphere of the formal test and you can master the time of DEA-C02 exam questions.

DEA-C02 exam training dumps has contents covering most of the key points, which is the best reference for your preparation, The DEA-C02 exam product contains the extraordinary quality material that is comprised of DEA-C02 exam questions and answers those can be asked in real DEA-C02 exam.The DEA-C02 product contains the exam material and content gathered by SnowPro Advanced experts.

What's more, part of that TorrentValid DEA-C02 dumps now are free: https://drive.google.com/open?id=1NGbhDk3CImqDRUFQ2aQLloqp1HID5cOw

Ryan Richards Ryan Richards

Biography

Branch Address

Important Links

Privacy Policy

Contact Information