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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
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?

Answer: B


NEW QUESTION # 50
A company saves customer data to an Amazon S3 bucket. The company uses server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the bucket. The dataset includes personally identifiable information (PII) such as social security numbers and account details.
Data that is tagged as PII must be masked before the company uses customer data for analysis.
Some users must have secure access to the PII data during the pre-processing phase. The company needs a low-maintenance solution to mask and secure the PII data throughout the entire engineering pipeline.
Which combination of solutions will meet these requirements? (Choose two.)

Answer: B,D

Explanation:
AWS Glue DataBrew is a data preparation service that simplifies the process of cleaning and normalizing data, including masking PII data. It allows you to visually transform data and apply masking rules before the data is used for analysis. This solution is low-maintenance and seamlessly integrates with S3 for processing data.
AWS Identity and Access Management (IAM) can be used to manage permissions and control access to the PII data. IAM provides the necessary fine- grained access control for determining which users or roles can view or modify the PII data during the pre-processing and analysis phases.
GuardDuty is primarily a threat detection service. While it can monitor unusual access patterns, it does not provide the necessary tools for masking or securing PII data during the engineering pipeline.
Amazon Macie is useful for discovering and classifying PII in S3 buckets, but it does not handle the actual masking or securing of PII data. It is more for classification and monitoring rather than processing or access control.
Custom scripts can be error-prone, labor-intensive, and require ongoing maintenance. This approach introduces unnecessary complexity compared to the managed solution offered by AWS Glue DataBrew.


NEW QUESTION # 51
A data engineer needs to build an extract, transform, and load (ETL) job. The ETL job will process daily incoming .csv files that users upload to an Amazon S3 bucket. The size of each S3 object is less than 100 MB.
Which solution will meet these requirements MOST cost-effectively?

Answer: D

Explanation:
AWS Glue Python Shell Job is billed $0.44 per DPU-Hour for each job.
AWS Glue PySpark is billed $0.29 per DPU-Hour for each job with flexible execution and $0.44 per DPU-Hour for each job with standard execution.
https://aws.amazon.com/glue/pricing/


NEW QUESTION # 52
A data engineer uses AWS Lake Formation to manage access to data that is stored in an Amazon S3 bucket. The data engineer configures an AWS Glue crawler to discover data at a specific file location in the bucket, s3://examplepath. The crawler execution fails with the following error: "The S3 location: s3://examplepath is not registered." The data engineer needs to resolve the error.
Which solution will meet this requirement?

Answer: D

Explanation:
In Lake Formation, you must explicitly register each S3 path as a data location before any Glue crawler or user can access it. Registering s3:// examplepath in Lake Formation grants the crawler the metadata permissions it needs to crawl that location.


NEW QUESTION # 53
A company needs to optimize storage for an Amazon S3 bucket. Objects older than 1 year must be accessible within 5 hours. All versions of the objects must be retained and immutable for 7 years. All versions of the objects must use the write-once-read-many (WORM) model. Which solution will meet these requirements?

Answer: D

Explanation:
S3 Object Lock enforces the write-once-read-many model and ensures that all object versions remain immutable for the required 7-year retention period. Transitioning objects older than 1 year to S3 Glacier Flexible Retrieval satisfies the requirement that data be accessible within 5 hours, as this storage class supports retrieval within minutes to a few hours. The lifecycle policy can expire objects after 7 years, aligning with the retention requirement once the Object Lock retention period has ended.


NEW QUESTION # 54
......

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