Our Blog - Study Studio

Jon Stone Jon Stone

0 Course Enrolled • 0 Course Completed

Biography

Exam DEA-C02 Materials & DEA-C02 Prepaway Dumps

BTW, DOWNLOAD part of Prep4away DEA-C02 dumps from Cloud Storage: https://drive.google.com/open?id=1k6b1mAxOPJU6L2qv5e6LD8F-r5Q-rNyi

Prep4away Snowflake Certification Exam comes in three different formats so that the users can choose their desired design and prepare Snowflake DEA-C02 exam according to their needs. The first we will discuss here is the PDF file of real Snowflake DEA-C02 Exam Questions. It can be taken to any place via laptops, tablets, and smartphones.

SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) exam dumps offers are categorized into several categories, so you can find the one that's right for you. DEA-C02 practice exam software uses the same testing method as the real DEA-C02 exam. With DEA-C02 exam questions, you can prepare for your SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) certification exam. Job proficiency can be evaluated through DEA-C02 Exam Dumps that include questions that relate to a company's ideal personnel. These Snowflake DEA-C02 practice test feature questions similar to conventional scenarios, making scoring questions especially applicable for entry-level recruits and mid-level executives.

>> Exam DEA-C02 Materials <<

DEA-C02 Prepaway Dumps - DEA-C02 Reliable Exam Answers

SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) Practice exams (desktop and web-based) are designed solely to help you get your SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) certification on your first try. Our Snowflake DEA-C02 mock test will help you understand the SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) exam inside out and you will get better marks overall. It is only because you have practical experience of the SnowPro Advanced: Data Engineer (DEA-C02) (DEA-C02) exam even before the exam itself.

Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions (Q232-Q237):

NEW QUESTION # 232
A financial services company is implementing Snowflake. They have a table 'CUSTOMER DATA' containing sensitive information like 'CREDIT CARD NUMBER, 'SSN', and 'ADDRESS'. They need to ensure that: 1) Analysts can only see the last four digits of the 'CREDIT CARD NUMBER. 2) Data scientists require full access to the 'ADDRESS' but should not see the 'SSN'. 3) A dedicated compliance role should be able to view all data in its original format for auditing purposes. Which of the following is the MOST efficient and secure approach to implement this using Snowflake's data masking and RBAC?

A. Replicate the CUSTOMER_DATA table three times, once for each user group (Analysts, Data Scientist and Compliance). Mask sensitive information by altering the data with the respective masking function.
B. Use data encryption for the entire 'CUSTOMER_DATA table and provide decryption keys to specific roles based on their access requirements. Provide the compliance role with the master key.
C. Create separate views for analysts and data scientists, applying masking policies within the views, and grant access to these views based on their respective roles. Additionally, grant the compliance role direct access to the base table.
D. Create masking policies on the 'SSN' , and 'ADDRESS' columns. Use conditional masking expressions based on the CURRENT ROLE() function to determine what data to show to each role (analysts, data scientists, compliance).
E. Create dynamic data masking policies on each sensitive column in the 'CUSTOMER_DATA table, associating these policies with specific roles using Snowflake's tag-based masking. Grant roles only the privileges needed to select the columns based on their requirements.

Answer: D

Explanation:
Conditional masking using the CURRENT ROLE() function within masking policies is the most efficient and secure approach. It allows a single table to be used while dynamically controlling data visibility based on the user's role. Views (Option A) can introduce maintenance overhead. Encryption (Option C) is generally used for data at rest and in transit and is not the correct solution for masking. Tag-based masking can add complexity when direct role-based masking is simpler. Replicating the table (Option E) would consume a huge amount of resource, and increase data duplication issues.

NEW QUESTION # 233
You are building a data pipeline to ingest JSON data from an external API using the Snowflake SQL API. The API returns nested JSON structures, and you need to extract specific fields and load them into a Snowflake table with a flattened schem a. You also need to handle potential schema variations and missing fields in the JSON data. Which approach provides the MOST robust and flexible solution for this scenario, maximizing data quality and minimizing manual intervention?

A. Load the raw JSON data into a VARIANT column in Snowflake. Create a series of views on top of the VARIANT column to extract the required fields and handle schema variations using 'TRY TO ' functions.
B. Utilize Snowflake's schema detection feature during the COPY INTO process. This will automatically infer the schema from the JSON data and create the table accordingly.
C. Use the 'JSON TABLE function in a Snowflake SQL query executed via the SQLAPI to flatten the JSON data and extract the required fields. Handle missing fields by using 'DEFAULT values in the table schema.
D. Parse the JSON data in your client application (e.g., Python) using a library like 'json' or , transform the data into a tabular format, and then use the Snowflake Connector for Python to load the data into Snowflake.
E. Use a stored procedure with dynamic SQL to parse the JSON, create new tables based on the current schema, and load data. Maintain metadata on table versions.

Answer: A

Explanation:
Loading the raw JSON into a VARIANT column and creating views with 'TRY TO functions provides the most flexible and robust solution. It allows you to handle schema variations gracefully without requiring changes to the underlying table. 'JSON TABLE (A) can be complex for deeply nested structures. Parsing in the client application (B) requires more coding and infrastructure. Schema detection during COPY INTO (D) is less flexible for handling variations. Stored procedures with dynamic SQL(E) introduces complexity in schema maintenance and evolution.

NEW QUESTION # 234
A healthcare provider stores patient data in Snowflake, including 'PATIENT ID', 'NAME, 'MEDICAL HISTORY , and 'INSURANCE ID. They need to comply with HIPAA regulations. As a data engineer, you need to ensure that PHI (Protected Health Information) is masked appropriately based on user roles. Which of the following steps are NECESSARY to achieve this using Snowflake's data masking features and RBAC? (Select all that apply)

A. Enforce multi-factor authentication (MFA) for all users accessing the Snowflake environment to enhance security and prevent unauthorized access to sensitive data.
B. Create custom roles representing different user groups within the organization (e.g., 'DOCTOR, 'NURSE, 'ADMIN') and grant them the necessary privileges to access the data, including 'SELECT on the tables and views containing patient data.
C. Apply the created masking policies to the corresponding columns in the patient data tables, ensuring that the masking policies are designed to reveal only the necessary information based on the user's role (e.g., doctors see full medical history, nurses see limited medical history, admins see de-identified data).
D. Identify the columns containing PHI and create appropriate masking policies for each column (e.g., masking 'NAME, 'MEDICAL HISTORY, INSURANCE_ID).
E. Grant the 'OWNERSHIP privilege on the 'PATIENT table to the 'ACCOUNTADMIN' role, ensuring complete control and management of the data by the administrator.

Answer: B,C,D

Explanation:
Options A, B, and C are all necessary steps for implementing data masking and RBAC for PHI protection. Identifying PHI and creating masking policies is crucial. Defining roles and granting privileges aligns access with job functions. Applying the masking policies enforces role-based data visibility. Option D is not as important, as another admin role may be more suitable (SECURITYADMIN) than the ACCOUNTADMIN, and option E, MFA does enhance security but is not directly related to Data Masking with RBAC in Snowflake.

NEW QUESTION # 235
You have a table 'SALES DATA' in your production environment. You want to create a development environment using cloning, but only want to include data up to a specific point in time to minimize storage costs and potential exposure of recent, sensitive data'. You know there were significant changes to the 'SALES DATA' table structure on '2024-01-15'. Your goal is to create a clone that only includes the structure as of '2024-01-14'. Which Snowflake command is MOST appropriate for this scenario?

Answer: C

Explanation:
The 'AT (TIMESTAMP=> ...)' clause allows you to specify a specific point in time to clone a table. The 'TIMESTAMP LTZ data type accurately represents a timestamp with a time zone, which is crucial for time travel operations. The other options either use incorrect syntax, incorrect clauses C BEFORE is for statements, not specific times), or do not correctly represent the timestamp.

NEW QUESTION # 236
A data warehousing team is experiencing inconsistent query performance on a large fact table C SALES FACT) that is updated daily. Some queries involving complex joins and aggregations take significantly longer to execute than others, even when run with the same virtual warehouse size. You suspect that the query result cache is not being effectively utilized due to variations in query syntax and the dynamic nature of the data'. Which of the following strategies could you implement to maximize the effectiveness of the query result cache and improve query performance consistency? Assume virtual warehouse size is large and the data is skewed across days.

A. Use stored procedures with parameters to encapsulate the queries. This will ensure that the query syntax is consistent, regardless of the specific parameters used.
B. Implement a data masking policy on the 'SALES_FACT table. Data masking will reduce the size of the data that needs to be cached, improving cache utilization.
C. Optimize the 'SALES_FACT table by clustering it on the most frequently used filter columns and enabling automatic clustering. This will improve data locality and reduce the amount of data that needs to be scanned.
D. Implement query tagging to standardize query syntax. By applying consistent tags to queries, you can ensure that similar queries are recognized as identical and reuse cached results.
E. Create a separate virtual warehouse specifically for running these queries. This will isolate the cache and prevent it from being invalidated by other queries.

Answer: A,C

Explanation:
Using stored procedures with parameters (B) standardizes query syntax, making it easier for Snowflake to recognize and reuse cached results. Optimizing the 'SALES_FACT table with clustering (E) improves data locality, reducing the amount of data that needs to be scanned and potentially cached. Query tagging (A) can help, but might not address subtle syntax differences. Creating a separate virtual warehouse (C) doesn't guarantee better cache utilization; it just isolates it. Data masking (D) is primarily for security, not caching, although it might indirectly reduce data size.

NEW QUESTION # 237
......

DEA-C02 exam questions have a very high hit rate, of course, will have a very high pass rate. Before you select a product, you must have made a comparison of your own pass rates. Our DEA-C02 study materials must appear at the top of your list. And our DEA-C02 learning quiz has a 99% pass rate. This is the result of our efforts and the best gift to the user. And it is also proved and tested the quality of our DEA-C02 training engine is excellent.

DEA-C02 Prepaway Dumps: https://www.prep4away.com/Snowflake-certification/braindumps.DEA-C02.ete.file.html

Our DEA-C02 preparation materials keep you at Pass SnowPro Advanced for Finance and Operations, Financials - Snowflake DEA-C02 exam, Snowflake Exam DEA-C02 Materials You choose most of your parts in your life as well as the practice materials for this exam, These actual DEA-C02 questions assist students in discovering areas in which they need improvement, boost confidence, and lower anxiety, Our passing rate for DEA-C02 certification is high up to 99.26%.

I'm using a pretty boring looking light bulb bullet for this DEA-C02 example, but you may want to do something more exciting where the background image and text overlap and interact.

But developments like the Iconn printer show the reality is catching up, Our DEA-C02 Preparation materials keep you at Pass SnowPro Advanced for Finance and Operations, Financials - Snowflake DEA-C02 exam.

Free PDF Snowflake - Valid Exam DEA-C02 Materials

You choose most of your parts in your life as well as the practice materials for this exam, These actual DEA-C02 questions assist students in discovering areas in which they need improvement, boost confidence, and lower anxiety.

Our passing rate for DEA-C02 certification is high up to 99.26%, The client can decide which DEA-C02 version to choose according their hobbies and their practical conditions.

BONUS!!! Download part of Prep4away DEA-C02 dumps for free: https://drive.google.com/open?id=1k6b1mAxOPJU6L2qv5e6LD8F-r5Q-rNyi

Jon Stone Jon Stone

Biography

Become an Instructor

Register as a Student