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Snowflake DEA-C01 Exam Syllabus Topics:

Section	Objectives
Performance Optimization	- Query performance tuning 1. Clustering and micro-partitions 2. Caching mechanisms - Warehouse optimization 1. Concurrency management 2. Scaling strategies
Semi-Structured and Advanced Data Handling	- Advanced transformation techniques 1. Flattening nested data 2. Complex transformations in SQL - Semi-structured data processing 1. JSON, Avro, Parquet handling 2. VARIANT data type usage
Security, Governance, and Data Sharing	- Data governance 1. Data masking policies 2. Secure data sharing concepts - Access control 1. Role-based access control (RBAC) 2. Object-level permissions
Data Engineering Fundamentals on Snowflake	- Snowflake architecture for data engineering 1. Virtual warehouses and compute scaling 2. Storage and compute separation - Data ingestion concepts 1. Continuous ingestion concepts 2. Batch loading strategies
Data Loading and Integration	- Bulk data loading 1. File format handling 2. COPY INTO command usage - Snowpipe and continuous ingestion 1. Automated ingestion workflows 2. Event-driven loading
Data Pipelines and Transformation	- Streams and Tasks 1. Change Data Capture (CDC) with Streams 2. Automating pipelines with Tasks - ETL/ELT design patterns in Snowflake 1. Staging and transformation layers 2. Data orchestration concepts

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q264-Q269):

NEW QUESTION # 264
A marketing company uses Amazon S3 to store marketing data. The company uses versioning in some buckets. The company runs several jobs to read and load data into the buckets.
To help cost-optimize its storage, the company wants to gather information about incomplete multipart uploads and outdated versions that are present in the S3 buckets.
Which solution will meet these requirements with the LEAST operational effort?

A. Use AWS usage reports for Amazon S3 to gather the information.
B. Use AWS CLI to gather the information.
C. Use the Amazon S3 Storage Lens dashboard to gather the information.
D. Use Amazon S3 Inventory configurations reports to gather the information.

Answer: C

Explanation:
Amazon S3 Storage Lens provides a comprehensive view of S3 storage usage and activity. It includes metrics such as the number of incomplete multipart uploads and the number of non- current object versions, making it an ideal tool for gathering insights into storage inefficiencies like outdated versions and incomplete uploads. This solution requires minimal operational effort as it is built into S3 and provides a user-friendly dashboard with detailed insights.
Using the AWS CLI to manually list and check multipart uploads and object versions would require scripting and regular execution, leading to higher operational overhead.
S3 Inventory provides reports on the objects in your bucket, but it does not directly provide information on incomplete multipart uploads or outdated versions. You would need to process the data further to gather the specific insights.
AWS usage reports are more focused on billing and usage rather than detailed storage optimization metrics like incomplete multipart uploads and outdated object versions.

NEW QUESTION # 265
Mark the Correct Statements:
Statement 1. Snowflake's zero-copy cloning feature provides a convenient way to quickly take a "snapshot" of any table, schema, or database.
Statement 2. Data Engineer can use zero-copy cloning feature for creating instant backups that do not incur any additional costs (until changes are made to the cloned object).

A. Statement 1
B. Statement 1 & 2 are correct.
C. Statement 2
D. Both are False.

Answer: D

Explanation:
Explanation
Snowflake's zero-copy cloning feature provides a convenient way to quickly take a "snapshot" of any table, schema, or database and create a derived copy of that object which initially shares the underlying storage. This can be extremely useful for creating instant backups that do not incur any additional costs (until changes are made to the cloned object).
For example, when a clone is created of a table, the clone utilizes no data storage because it shares all the existing micro-partitions of the original table at the time it was cloned; however, rows can then be added, deleted, or updated in the clone independently from the original table. Each change to the clone results in new micro-partitions that are owned exclusively by the clone and are protect-ed through CDP.

NEW QUESTION # 266
A transportation company wants to track vehicle movements by capturing geolocation records.
The records are 10 bytes in size. The company receives up to 10.000 records every second. Data transmission delays of a few minutes are acceptable because of unreliable network conditions.
The transportation company wants to use Amazon Kinesis Data Streams to ingest the geolocation data. The company needs a reliable mechanism to send data to Kinesis Data Streams. The company needs to maximize the throughput efficiency of the Kinesis shards.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Kinesis Agent
B. Kinesis Producer Library (KPL)
C. Amazon Kinesis Data Firehose
D. Kinesis SDK

Answer: B

NEW QUESTION # 267
A company needs to aggregate and filter a large amount of streaming data in real-time with low latency. The company needs to store the data in Amazon S3 for analysis.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use Amazon Data Firehose and AWS Lambda functions to perform custom transformations and to deliver the data to Amazon S3.
B. Use Amazon Kinesis Data Streams and Amazon Managed Service for Apache Flink to perform complex processing and to integrate with Amazon S3.
C. Use Amazon Kinesis Data Streams with provisioned capacity and AWS Lambda functions to perform custom transformations and to integrate with Amazon S3.
D. Use Amazon Data Firehose with built-in data transformations. Deliver the data directly to Amazon S3.

Answer: B

Explanation:
Amazon Kinesis Data Streams with Amazon Managed Service for Apache Flink performs stateful, low-latency streaming aggregations and filtering at scale, then writes results to Amazon S3 - meeting real-time requirements while remaining fully managed and operationally efficient.

NEW QUESTION # 268
A company uses Amazon Athena for one-time queries against data that is in Amazon S3. The company has several use cases. The company must implement permission controls to separate query processes and access to query history among users, teams, and applications that are in the same AWS account.
Which solution will meet these requirements?

A. Create an S3 bucket for each use case. Create an S3 bucket policy that grants permissions to appropriate individual IAM users. Apply the S3 bucket policy to the S3 bucket.
B. Create an IAM role for each use case. Assign appropriate permissions to the role for each use case. Associate the role with Athena.
C. Create an Athena workgroup for each use case. Apply tags to the workgroup. Create an IAM policy that uses the tags to apply appropriate permissions to the workgroup.
D. Create an AWS Glue Data Catalog resource policy that grants permissions to appropriate individual IAM users for each use case. Apply the resource policy to the specific tables that Athena uses.

Answer: C

Explanation:
https://docs.aws.amazon.com/athena/latest/ug/user-created-workgroups.html

NEW QUESTION # 269
......

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