DEA-C01 Detailed Study Dumps & DEA-C01 Exam Practice

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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 4	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 5	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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q239-Q244):

NEW QUESTION # 239
A data engineer needs to use Amazon Neptune to develop graph applications.
Which programming languages should the engineer use to develop the graph applications?
(Choose two.)

A. SQL
B. SPARQL
C. ANSI SQL
D. Gremlin
E. Spark SQL

Answer: B,D

NEW QUESTION # 240
A data engineer set up an AWS Lambda function to read an object that is stored in an Amazon S3 bucket. The object is encrypted by an AWS KMS key.
The data engineer configured the Lambda function's execution role to access the S3 bucket.
However, the Lambda function encountered an error and failed to retrieve the content of the object.
What is the likely cause of the error?

A. The S3 bucket is located in a different AWS Region than the Region where the data engineer works. Latency issues caused the Lambda function to encounter an error.
B. The Lambda function's execution role does not have the necessary permissions to access the KMS key that can decrypt the S3 object.
C. The data engineer misconfigured the permissions of the S3 bucket. The Lambda function could not access the object.
D. The Lambda function is using an outdated SDK version, which caused the read failure.

Answer: B

NEW QUESTION # 241
A large e-commerce company manages a single S3 bucket containing product images, customer data, and marketing materials. Different departments within the company require access to specific data sets, but granting access to the entire bucket for each department poses a security risk.
What AWS service can be implemented to provide granular access control and simplify permission management for various departments while using a single S3 bucket?

A. S3 Access Pointsright
B. S3 Object Ownership
C. IAM User Groups with bucket policies
D. Bucket ACLs

Answer: A

Explanation:
S3 Access Points offer a more efficient and secure solution. You can create multiple access points for the single S3 bucket, each with a unique namespace. These access points can then be assigned specific IAM policies that grant granular access control for different departments.
Reference:
https://aws.amazon.com/s3/features/access-points/

NEW QUESTION # 242
Mark the incorrect statement when Data Engineer implement Automating Continuous Data Loading Using Cloud Messaging?

A. When a pipe is paused, event messages received for the pipe enter a limited retention period. The period is 14 days by default. If a pipe is paused for longer than 14 days, it is considered stale.
B. Automated Snowpipe uses event notifications to determine when new files arrive in monitored cloud storage and are ready to load.
C. Notifications identify the cloud storage event and include a list of the file names. They do not include the actual data in the files.
D. Triggering automated Snowpipe data loads using S3 event messages is supported by Snowflake accounts hosted on Cloud Platform like AWS, GCP or AZURE.

Answer: D

Explanation:
Explanation
Triggering automated Snowpipe data loads using S3 event messages is supported by Snowflake ac-counts hosted on Amazon Web Services (AWS) only.
Rest is correct statements.

NEW QUESTION # 243
An ecommerce company processes millions of orders each day. The company uses AWS Glue ETL to collect data from multiple sources, clean the data, and store the data in an Amazon S3 bucket in CSV format by using the S3 Standard storage class. The company uses the stored data to conduct daily analysis.
The company wants to optimize costs for data storage and retrieval.
Which solution will meet this requirement?

A. Transition the data to Amazon S3 Glacier Flexible Retrieval.
B. Transition the data from Amazon S3 to an Amazon Aurora cluster.
C. Configure AWS Glue ETL to transform the incoming data to Apache Parquet format.
D. Configure AWS Glue ETL to use Amazon EMR to process incoming data in parallel.

Answer: C

Explanation:
Converting the CSV files into Apache Parquet during your Glue ETL jobs dramatically reduces both storage size (because Parquet is a compressed, columnar format) and query cost (because analytics engines only scan the columns you need). This change requires no new infrastructure and pays off immediately for your daily analysis workloads.

NEW QUESTION # 244
......

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