Andy Bell Andy Bell's Profile Page

Andy Bell Andy Bell

0 Course Enrolled • 0 Course Completed

Biography

Practice DEA-C01 Exams & DEA-C01 Valid Exam Dumps

DOWNLOAD the newest GetValidTest DEA-C01 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1R5OGu-5Jhr9OWlP2c_mrZMzy4GcGnYlk

GetValidTest offers SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) practice exams (desktop & web-based) which are customizable. It means candidates can set time and Snowflake DEA-C01 questions of the DEA-C01 practice exam according to their learning needs. The Real DEA-C01 Exam environment of practice test help test takers to get awareness about the test pressure so that they become capable to counter this pressure during the final exam.

Passing the DEA-C01 certification can prove that you boost both the practical abilities and the knowledge and if you buy our DEA-C01 latest question you will pass the exam smoothly. Our DEA-C01 exam torrent is compiled elaborately and we provide free download and tryout before your purchase. We provide free update and the old client can enjoy the discount. We protect the client’s privacy and the purchase procedure on our website is safe and our DEA-C01 Guide questions boost no virus. We provide 24 hours online customer service and if you couldn’t pass the exam we will refund you in full immediately.

>> Practice DEA-C01 Exams <<

Try a Free Demo and Then Buy Snowflake DEA-C01 Exam Dumps

It will provide you with the Snowflake DEA-C01 dumps latest updates until 365 days after purchasing the DEA-C01 exam questions. Above all, you will obtain these updates entirely free if the Snowflake DEA-C01 certification authorities issue fresh updates. GetValidTest ensures that you will hold the prestigious Snowflake DEA-C01 certificate on the first endeavor if you work consistently, taking help from our remarkable, up-to-date, and competitive Snowflake DEA-C01 dumps.

Snowflake DEA-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.

Topic 2

Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.

Topic 3

Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.

Topic 4

Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.

Topic 5

Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
1.+--------------------------------------------------------------+
2.| SYSTEM$CLUSTERING_INFORMATION('SF_DATA', '(COL1, COL3)') |
3.|--------------------------------------------------------------|
4.| { |
5.| "cluster_by_keys" : "(COL1, COL3)", |
6.| "total_partition_count" : 1156, |
7.| "total_constant_partition_count" : 0, |
8.| "average_overlaps" : 117.5484, |
9.| "average_depth" : 64.0701, |
10.| "partition_depth_histogram" : { |
11.| "00000" : 0, |
12.| "00001" : 0, |
13.| "00002" : 3, |
14.| "00003" : 3, |
15.| "00004" : 4, |
16.| "00005" : 6, |
17.| "00006" : 3, |
18.| "00007" : 5, |
19.| "00008" : 10, |
20.| "00009" : 5, |
21.| "00010" : 7, |
22.| "00011" : 6, |
23.| "00012" : 8, |
24.| "00013" : 8, |
25.| "00014" : 9, |
26.| "00015" : 8, |
27.| "00016" : 6, |
28.| "00032" : 98, |
29.| "00064" : 269, |
30.| "00128" : 698 |
31.| } |
32.| } |
33.+--------------------------------------------------------------+
The Above example indicates that the SF_DATA table is not well-clustered for which of following valid reasons?

A. High average of overlapping micro-partitions.
B. ALL of the above
C. Zero (0) constant micro-partitions out of 1156 total micro-partitions.
D. Most of the micro-partitions are grouped at the lower-end of the histogram, with the majority of micro-partitions having an overlap depth between 64 and 128.
E. High average of overlap depth across micro-partitions.

Answer: B

NEW QUESTION # 19
An airline company is collecting metrics about flight activities for analytics. The company is conducting a proof of concept (POC) test to show how analytics can provide insights that the company can use to increase on-time departures.
The POC test uses objects in Amazon S3 that contain the metrics in .csv format. The POC test uses Amazon Athena to query the data. The data is partitioned in the S3 bucket by date.
As the amount of data increases, the company wants to optimize the storage solution to improve query performance.
Which combination of solutions will meet these requirements? (Choose two.)

A. Preprocess the .csv data to Apache Parquet format by fetching only the data blocks that are needed for predicates.
B. Add a randomized string to the beginning of the keys in Amazon S3 to get more throughput across partitions.
C. Use an S3 bucket that is in the same AWS Region where the company runs Athena queries.
D. Use an S3 bucket that is in the same account that uses Athena to query the data.
E. Preprocess the .csv data to JSON format by fetching only the document keys that the query requires.

Answer: A,C

Explanation:
https://docs.aws.amazon.com/athena/latest/ug/performance-tuning.html

NEW QUESTION # 20
Search optimization works best to improve the performance of a query when the following condi-tions are true:[Select All that apply]

A. Search Query uses Sort Operations.
B. The table is not clustered.
C. The table is frequently queried on columns other than the primary cluster key.
D. Search Query uses Equality predicates (for example, <column_name> = <constant>) OR Predicates that use IN.

Answer: B,C,D

Explanation:
Explanation
Materialized Views works best for search query performance in case of Sort Operations. For Rest of the points Search optimization works best to improve query performance.

NEW QUESTION # 21
Which are the two ways to access elements in a JSON object?

A. use Curly bracket notation to traverse the path in an object:
<col-umn>{'<level1_element>'}{'<level2_element>'}.
B. use bracket notation to traverse the path in an object:
<col-umn>['<level1_element>']['<level2_element>'].
C. Use SemiColon notation to traverse a path in a JSON object:
<col-umn>:<level1_element>;<level2_element>;<level3_element>.
D. Use dot notation to traverse a path in a JSON object:
<col-umn>:<level1_element>.<level2_element>.<level3_element>.

Answer: B,D

NEW QUESTION # 22
A company has five offices in different AWS Regions. Each office has its own human resources (HR) department that uses a unique IAM role. The company stores employee records in a data lake that is based on Amazon S3 storage.
A data engineering team needs to limit access to the records. Each HR department should be able to access records for only employees who are within the HR department's Region.
Which combination of steps should the data engineering team take to meet this requirement with the LEAST operational overhead? (Choose two.)

A. Enable fine-grained access control in AWS Lake Formation. Add a data filter for each Region.
B. Register the S3 path as an AWS Lake Formation location.
C. Create a separate S3 bucket for each Region. Configure an IAM policy to allow S3 access.Restrict access based on Region.
D. Use data filters for each Region to register the S3 paths as data locations.
E. Modify the IAM roles of the HR departments to add a data filter for each department's Region.

Answer: A,B

Explanation:
https://docs.aws.amazon.com/lake-formation/latest/dg/data-filters-about.html
https://docs.aws.amazon.com/lake-formation/latest/dg/access-control-fine-grained.html

NEW QUESTION # 23
......

In the modern world, obtaining DEA-C01 certification is essential. With the growing popularity of Snowflake, the demand for professionals holding this SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) certification holders has increased significantly. Unfortunately, many candidates fail to pass the DEA-C01 Exam due to outdated SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) exam study material. Such failure can lead to the loss of time, money, and confidence.

DEA-C01 Valid Exam Dumps: https://www.getvalidtest.com/DEA-C01-exam.html

BONUS!!! Download part of GetValidTest DEA-C01 dumps for free: https://drive.google.com/open?id=1R5OGu-5Jhr9OWlP2c_mrZMzy4GcGnYlk