Blog

Jack White Jack White

0 Course Enrolled • 0 Course Completed

Biography

New DAA-C01 Exam Papers - New DAA-C01 Test Notes

What's more, part of that ValidDumps DAA-C01 dumps now are free: https://drive.google.com/open?id=1Q1H5hGcovFw3i4a6-mKOfOkd4mO-Ejeo

One of the best features of ValidDumps exam questions is free updates for up to 1 year. The ValidDumps has hired a team of experienced and qualified DAA-C01 exam trainers. They update the DAA-C01 exam questions as per the latest DAA-C01 Exam Syllabus. So rest assured that with the ValidDumps you will get the updated DAA-C01 exam practice questions all the time. Try a free demo if you to evaluate the features of our product. Best of luck!

There are many advantages of our DAA-C01 pdf torrent: latest real questions, accurate answers, instantly download and high passing rate. You can totally trust our DAA-C01 practice test because all questions are created based on the requirements of the certification center. Latest DAA-C01 Test Questions are verified and tested several times by our colleagues to ensure the high pass rate of our DAA-C01 study guide.

>> New DAA-C01 Exam Papers <<

New DAA-C01 Test Notes, Valid DAA-C01 Exam Testking

DAA-C01 study material applies to all types of candidates. Buying a set of learning materials is not difficult, but it is difficult to buy one that is suitable for you. For example, some learning materials can really help students get high scores, but they usually require users to have a lot of study time, which is difficult for office workers. However, DAA-C01 Study Material is to help students improve their test scores by improving their learning efficiency. Therefore, users can pass exams with very little learning time.

Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q189-Q194):

NEW QUESTION # 189
How does performing data discovery through querying tables in Snowflake aid in data preparation?

A. It limits data selection options.
B. Data discovery enhances data transformation understanding.
C. It simplifies data transformation tasks.
D. Querying tables doesn't impact data preparation.

Answer: B

Explanation:
Querying tables in Snowflake aids in understanding necessary data transformations for effective preparation.

NEW QUESTION # 190
You are tasked with ingesting clickstream data from a website into Snowflake for real-time analytics. The website generates approximately 100,000 events per minute. The business requires insights into user behavior with a maximum latency of 5 minutes. Which data collection strategy would be MOST appropriate to meet these requirements, considering both cost and near real-time needs?

A. Near real-time ingestion using Snowpipe with auto-ingest enabled and micro-batches of data.
B. Directly inserting data using JDBC from the web application.
C. Utilizing a third-party ETL tool to transfer data in hourly batches.
D. Scheduled task using a Python script to extract data from an API endpoint every 10 minutes.
E. Batch ingestion using Snowpipe with file sizes of IGB uploaded every 15 minutes.

Answer: A

Explanation:
Near real-time ingestion using Snowpipe with auto-ingest is the most appropriate choice. It provides low latency (minutes), scales well with high data volume, and is cost-effective compared to maintaining a custom solution or paying for a full-fledged ETL tool for this specific scenario. Batch processing introduces too much latency (15 minutes or more), scheduled tasks can become resource intensive and JDBC inserts directly from the application can create performance bottlenecks and security concerns.

NEW QUESTION # 191
You are tasked with loading a large CSV file containing website traffic data into Snowflake. The CSV file has the following characteristics: Header row is present. Fields are enclosed in double quotes. The delimiter is a pipe (l) character. One column, 'timestamp' , is stored as milliseconds since the epoch and needs to be converted to a Snowflake TIMESTAMP NTZ. Which of the following COPY INTO statement options would correctly load the data, handle the delimiter and quotes, and convert the 'timestamp' column?

A. Option D
B. Option C
C. Option A
D. Option E
E. Option B

Answer: D

Explanation:
Option E is correct because it correctly handles the milliseconds since epoch conversion. It casts the 'timestamp' column to a to ensure accurate division and then divides by 1000 to convert milliseconds to seconds before applying TO_TIMESTAMP_NTZ. Option A is incorrect because timestamp could be a String. Option B is incorrect as date format is not relevant here and it doesn't divide by 1000. Option C is incorrect because BIGINT might not be sufficient for large timestamps. Option D is incorrect because = 'EPOCH MILLIS" is used in file format options, not transform column.

NEW QUESTION # 192
A Snowflake data analyst is tasked with optimizing the performance of a frequently executed query. The execution plan reveals a 'TableScan' operation on a large table named 'SALES DATR. The 'SALES DATA table is clustered on the 'SALE DATE' column. However, the query predicate uses a range filter on a different column, 'REGION', which is not part of the clustering key. Which of the following strategies would likely improve the query performance significantly? (Select TWO)

A. Create a search optimization service on the 'REGION' column of the 'SALES_DATA' table.
B. Create a new clustering key using 'REGION' and removing the 'SALE DATE clustering key. Dropping the existing clustering key before creating a new one.
C. Recluster the table using both 'SALE_DATE' and 'REGION' as clustering keys to improve data locality for the filter.
D. Increase the virtual warehouse size used for querying the 'SALES DATA' table.
E. Create a materialized view that includes both ' REGION' and necessary columns and only include the data from last one year to reduce table size in the view.

Answer: A,E

Explanation:
Options C and E are the most impactful. Search optimization (C) allows Snowflake to efficiently prune the search space based on the REGION' filter. Creating a materialized view (E) allow precalculating the result and reducing data amount to scan for the query. Reclustering (A and B) may help in some cases. But the reclustering would not be the optimal choice. Increasing warehouse size (D) might provide a marginal improvement but does not directly address the inefficient table scan.

NEW QUESTION # 193
You are tasked with creating a data access strategy for a marketing analytics team. They need access to customer purchase data, but only aggregated by region and product category. They should not be able to see individual customer details due to PII compliance. You decide to use a Secure View. Which of the following are the MOST appropriate steps to ensure data security and minimize performance impact?

A. Create a regular view that aggregates the data and grant SELECT privilege on the view to the marketing analytics role.
B. Create a Materialized View directly on the base tables with the aggregation logic. Grant SELECT privilege on the Materialized View to the marketing analytics role.
C. Create a Materialized View that aggregates the data. Create a Secure View on top of the Materialized View and grant SELECT privilege on the secure view to the marketing analytics role.
D. Create a Secure View directly on the base tables with the aggregation logic. Grant SELECT privilege on the view to the marketing analytics role.
E. Create a Secure View that aggregates the data and grant SELECT privilege on the view to the marketing analytics role.

Answer: E

Explanation:
Secure Views prevent access to the underlying tables and data lineage. Creating the Secure View directly with the aggregation prevents unauthorized access to detailed data and avoids exposing intermediate tables or views. Materialized views while improving performance, when used along with a Secure View adds unnecessary complexity as aggregation should happen in secure view only.

NEW QUESTION # 194
......

No one lose interest during using our DAA-C01 actual exam and become regular customers eventually. With free demos to take reference, as well as bountiful knowledge to practice, even every page is carefully arranged by our experts, our DAA-C01 Exam Materials are successful with high efficiency and high quality to navigate you throughout the process. If you pay attention to using our DAA-C01 practice engine, thing will be solved easily.

New DAA-C01 Test Notes: https://www.validdumps.top/DAA-C01-exam-torrent.html

There are so many advantages of our DAA-C01 study materials, and as long as you free download the demos on our website, then you will know that how good quality our DAA-C01 exam questions are in, Perhaps after you have used DAA-C01 real exam once, you will agree with this point, The results show that our DAA-C01 study materials are easy for them to understand, Snowflake New DAA-C01 Exam Papers And you can get discounts unregularly.

The inputs at this stage of the project mainly contract DAA-C01 closeout procedures and administrative procedures, What Are Lists, There are so many advantages of our DAA-C01 Study Materials, and as long as you free download the demos on our website, then you will know that how good quality our DAA-C01 exam questions are in!

2025 DAA-C01 – 100% Free New Exam Papers | Professional New SnowPro Advanced: Data Analyst Certification Exam Test Notes

Perhaps after you have used DAA-C01 real exam once, you will agree with this point, The results show that our DAA-C01 study materials are easy for them to understand.

And you can get discounts unregularly, Our brand has marched into the international market and many overseas clients purchase our DAA-C01 exam dump online.

P.S. Free & New DAA-C01 dumps are available on Google Drive shared by ValidDumps: https://drive.google.com/open?id=1Q1H5hGcovFw3i4a6-mKOfOkd4mO-Ejeo

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Jack White Jack White

Biography

COOKIE NOTICE