Refund you in full immediately if you fail in the exam

Our passing rate is 98%-100% and there is little possibility for you to fail in the exam. But if you are unfortunately to fail in the exam we will refund you in full immediately. Some people worry that if they buy our DEA-C02 exam questions they may fail in the exam and the procedure of the refund is complicated. But we guarantee to you if you fail in we will refund you in full immediately and the process is simple. If only you provide us the screenshot or the scanning copy of the DEA-C02 failure marks we will refund you immediately. If you have doubts or other questions please contact us by emails or contact the online customer service and we will reply you and solve your problem as quickly as we can. So feel relieved when you buy our DEA-C02 guide torrent.

Compiled elaborately and boost various functions

Our DEA-C02 guide torrent has gone through strict analysis and summary according to the past exam papers and the popular trend in the industry and are revised and updated according to the change of the syllabus and the latest development conditions in the theory and the practice. The DEA-C02 exam questions have simplified the sophisticated notions. The software boosts varied self-learning and self-assessment functions to check the learning results. The software of our DEA-C02 test torrent provides the statistics report function and help the students find the weak links and deal with them.

Nowadays, there are more and more people realize the importance of DEA-C02, because more and more enterprise more and more attention it. If someone pass the DEA-C02 exam and own relevant certificates that mean he had good grasp of this field of knowledge, that is to say, he will be popular and valued by more enterprise. In order to help most candidates who want to pass DEA-C02 exam, so we compiled such a study materials to make exam simply.

DOWNLOAD DEMO

3 versions, different using method

Our DEA-C02 exam questions boost 3 versions: PDF version, PC version, APP online version. You can choose the most suitable method to learn. Each version boosts different characteristics and different using methods. For example, the APP online version of DEA-C02 guide torrent is used and designed based on the web browser and you can use it on any equipment with the browser. It boosts the functions of exam simulation, time-limited exam and correcting the mistakes. There are no limits for the amount of the using persons and equipment at the same time. The PDF version of our DEA-C02 guide torrent is convenient for download and printing. It is simple and suitable for browsing learning and can be printed on papers to be convenient for you to take notes. Before you purchase our DEA-C02 test torrent please visit the pages of our product on the websites and carefully understand the product and choose the most suitable version of DEA-C02 exam questions.

Snowflake DEA-C02 Exam Syllabus Topics:

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

1. You are tasked with building a data pipeline that ingests JSON data from a series of publically accessible URLs. These URLs are provided as a list within a Snowflake table 'metadata_table', containing columns 'file_name' and 'file url'. Each JSON file contains information about products. You need to create a view that extracts product name, price, and a flag indicating whether the product description contains the word 'discount'. Which of the following approaches correctly implements this, optimizing for both performance and minimal code duplication, using external functions for text processing?

A) Create a pipe using 'COPY INTO' statement with 'FILE FORMAT = (TYPE = JSON)' and 'ON_ERROR = CONTINUE that loads the JSON files directly into a staging table. Create a view on top of the staging table to extract the required fields. The must have = TRUE' configured if JSON files are nested array. Use ' ILIKE in your view for the discount flag.
B) Create an external function that takes a string as input and returns a BOOLEAN whether that string contains 'discount. Create a view on top of metadata_table', and using 'SYSTEM$URL_GET' fetch the content from 'file_url'. The JSON can then be parsed and the fields like price, name and description can be fetched. Use within the view to flag the presence of discount.
C) Create an external function that takes a URL as input and returns a BOOLEAN indicating if any error occured while processing the URL and the data. Create a stored procedure that iterates through 'metadata_table' , calls external function for each URL, reports error and then processes the data. A stage must also be created to host external function code.
D) Create an external function that takes a URL as input and returns a JSON variant containing the extracted product name, price, and discount flag (using 'LIKE Then, create a view that selects from calls the external function with 'SYSTEM$URL as input, and extracts the desired attributes from the returned JSON variant. A stage must also be created to host external function code.
E) Create a stored procedure that iterates through 'metadata_table', downloads each JSON file using 'SYSTEM$URL GET, parses the JSON, extracts the required fields, and inserts the data into a target table. Then, create a view on top of the target table. Use 'LIKE '%discount%' to identify if a product description contains the word 'discount'.

2. You have a table named 'sales_data' with columns 'region', 'product_category', and 'revenue'. You want to create an aggregation policy to prevent users without the 'FINANCE ADMIN' role from seeing revenue values aggregated across all regions. Instead, these users should only see revenue aggregated at the region level. The policy should return NULL for the 'revenue' column when aggregated across all regions by non-admin users. Which of the following SQL snippets correctly implements this aggregation policy?

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

3.

A) Create a new table with columns for 'item_id' and 'price' using the 'EVENT DATA column. Refreshed in a regular interval and used in Downstream querying.
B) Create a view that casts the 'EVENT DATA' column to VARCHAR before extracting attributes.
C) Use the ' GET_PATH' function repeatedly to extract 'item_id' and 'price' in the main query.
D) Create a search optimization service for the table 'USER_ACTIVITY to help filtering data in downstream
E) Create a virtual column for 'item_id' and 'price' using JSON path expressions and create indexes on these virtual columns.

4. A data engineering team is implementing a data governance strategy in Snowflake. They need to track the lineage of a critical table 'SALES DATA' from source system ingestion to its final consumption in a dashboard. They have implemented masking policies on sensitive columns in 'SALES DATA. Which combination of Snowflake features and actions will MOST effectively allow them to monitor data lineage and object dependencies, including visibility into masking policies?

A) Create a custom metadata repository and use Snowflake Scripting to parse query history and object metadata periodically. Manually track dependencies and policy changes by analyzing the output.
B) Utilize Snowflake's Data Governance features, specifically enabling Data Lineage using Snowflake Horizon and utilize the view along with query the 'QUERY HISTORY view. These features natively track data flow and policy application.
C) Use the INFORMATION_SCHEMA views like 'TABLES', 'COLUMNS', and 'POLICY_REFERENCES'. These views, combined with custom queries to analyze query history logs, will provide a complete lineage and masking policy overview.
D) Enable Account Usage views like 'QUERY_HISTORY, and 'ACCESS_HISTORY. These views directly show table dependencies and policy applications.
E) Rely solely on a third-party data catalog tool that integrates with Snowflake's metadata API. These tools automatically track lineage and policy information and provide the best and most effective results.

5. You have a table named 'TRANSACTIONS with the following definition: CREATE TABLE TRANSACTIONS ( TRANSACTION ID NUMBER, TRANSACTION DATE DATE, CUSTOMER_ID NUMBER, AMOUNT PRODUCT_CATEGORY VARCHAR(50) Users frequently query this table using filters on both 'TRANSACTION_DATE and 'PRODUCT CATEGORY. You want to optimize query performance. What is the MOST effective approach?

A) Create a materialized view joining 'TRANSACTIONS' with a dimension table containing product category information.
B) Cluster the table using a composite key of '(TRANSACTION_DATE, PRODUCT CATEGORY)'.
C) Partition the table by 'TRANSACTION DATE
D) Create separate indexes on 'TRANSACTION DATE' and 'PRODUCT CATEGORY.
E) Cluster the table on ' TRANSACTION_DATE and then create a materialized view filtered by PRODUCT_CATEGORY&.

Solutions: