Biography

2025 Pass-Sure Data-Engineer-Associate Vce Free | 100% Free Data-Engineer-Associate Exam Consultant

BTW, DOWNLOAD part of Exam4Free Data-Engineer-Associate dumps from Cloud Storage: https://drive.google.com/open?id=1QSM4KXzTUT8wBHuuI8FODNVVwcxzDRUR

Now on the Internet, a lot of online learning platform management is not standard, some web information may include some viruses, cause far-reaching influence to pay end users and adverse effect. Choose the Data-Engineer-Associate Study Tool, can help users quickly analysis in the difficult point, high efficiency of review, and high quality through the AWS Certified Data Engineer - Associate (DEA-C01) exam, work for our future employment and increase the weight of the promotion, to better meet the needs of their own development.

Many clients may worry that their privacy information will be disclosed while purchasing our Data-Engineer-Associate quiz torrent. We promise to you that our system has set vigorous privacy information protection procedures and measures and we won’t sell your privacy information. The Data-Engineer-Associate Quiz prep we sell boost high passing rate and hit rate so you needn’t worry that you can’t pass the exam too much. But if you fail in please don’t worry we will refund you. Take it easy before you purchase our Data-Engineer-Associate quiz torrent.

>> Data-Engineer-Associate Vce Free <<

Data-Engineer-Associate Vce Free - High-quality Amazon AWS Certified Data Engineer - Associate (DEA-C01) - Data-Engineer-Associate Exam Consultant

The Data-Engineer-Associate software supports the MS operating system and can simulate the real test environment. In addition, the Data-Engineer-Associate software has a variety of self-learning and self-assessment functions to test learning outcome, which will help you increase confidence to pass exam. The contents of the three versions are the same. Each of them neither limits the number of devices used or the number of users at the same time. You can choose according to your needs. Data-Engineer-Associate Study Materials provide 365 days of free updates, you do not have to worry about what you missed.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q31-Q36):

NEW QUESTION # 31
A financial company recently added more features to its mobile app. The new features required the company to create a new topic in an existing Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster.
A few days after the company added the new topic, Amazon CloudWatch raised an alarm on the RootDiskUsed metric for the MSK cluster.
How should the company address the CloudWatch alarm?

• A. Expand the storage of the Apache ZooKeeper nodes.
• B. Expand the storage of the MSK broker. Configure the MSK cluster storage to expand automatically.
• C. Specify the Target-Volume-in-GiB parameter for the existing topic.
• D. Update the MSK broker instance to a larger instance type. Restart the MSK cluster.

Answer: B

Explanation:
The RootDiskUsed metric for the MSK cluster indicates that the storage on the broker is reaching its capacity. The best solution is to expand the storage of the MSK broker and enable automatic storage expansion to prevent future alarms.
* Expand MSK Broker Storage:
* AWS Managed Streaming for Apache Kafka (MSK) allows you to expand the broker storage to accommodate growing data volumes. Additionally, auto-expansion of storage can be configured to ensure that storage grows automatically as the data increases.

NEW QUESTION # 32
A company needs to load customer data that comes from a third party into an Amazon Redshift data warehouse. The company stores order data and product data in the same data warehouse. The company wants to use the combined dataset to identify potential new customers.
A data engineer notices that one of the fields in the source data includes values that are in JSON format.
How should the data engineer load the JSON data into the data warehouse with the LEAST effort?

• A. Use the SUPER data type to store the data in the Amazon Redshift table.
• B. Use AWS Glue to flatten the JSON data and ingest it into the Amazon Redshift table.
• C. Use an AWS Lambda function to flatten the JSON data. Store the data in Amazon S3.
• D. Use Amazon S3 to store the JSON data. Use Amazon Athena to query the data.

Answer: A

Explanation:
In Amazon Redshift, the SUPER data type is designed specifically to handle semi-structured data like JSON, Parquet, ORC, and others. By using the SUPER data type, Redshift can ingest and query JSON data without requiring complex data flattening processes, thus reducing the amount of preprocessing required before loading the data. The SUPER data type also works seamlessly with Redshift Spectrum, enabling complex queries that can combine both structured and semi-structured datasets, which aligns with the company's need to use combined datasets to identify potential new customers.
Using the SUPER data type also allows for automatic parsing and query processing of nested data structures through Amazon Redshift's PARTITION BY and JSONPATH expressions, which makes this option the most efficient approach with the least effort involved. This reduces the overhead associated with using tools like AWS Glue or Lambda for data transformation.
References:
* Amazon Redshift Documentation - SUPER Data Type
* AWS Certified Data Engineer - Associate Training: Building Batch Data Analytics Solutions on AWS
* AWS Certified Data Engineer - Associate Study Guide
By directly leveraging the capabilities of Redshift with the SUPER data type, the data engineer ensures streamlined JSON ingestion with minimal effort while maintaining query efficiency.

NEW QUESTION # 33
A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations.
The company has an S3 bucket in an AWS account named Hub-Account. The S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The company's QuickSight instance is in a separate account named BI-Account The company updates the S3 bucket policy to grant access to the QuickSight service role. The company wants to enable cross-account access to allow QuickSight to interact with the S3 bucket.
Which combination of steps will meet this requirement? (Select TWO.)

• A. Add the KMS key as a resource that the QuickSight service role can access.
• B. Add the 53 bucket as a resource that the QuickSight service role can access.
• C. Use AWS Resource Access Manager (AWS RAM) to share the S3 bucket with the Bl-Account account.
• D. Add an IAM policy to the QuickSight service role to give QuickSight access to the KMS key that encrypts the S3 bucket.
• E. Use the existing AWS KMS key to encrypt connections from QuickSight to the S3 bucket.

Answer: A,D

Explanation:
* Problem Analysis:
* The company needscross-account accessto allow QuickSight inBI-Accountto interact with anS3 bucket in Hub-Account.
* The bucket is encrypted with anAWS KMS key.
* Appropriate permissions must be set for bothS3 accessandKMS decryption.
* Key Considerations:
* QuickSight requiresIAM permissionsto access S3 data and decrypt files using the KMS key.
* Both S3 and KMS permissions need to be properly configured across accounts.
* Solution Analysis:
* Option A: Use Existing KMS Key for Encryption
* While the existing KMS key is used for encryption, it must also grant decryption permissions to QuickSight.
* Option B: Add S3 Bucket to QuickSight Role
* Granting S3 bucket access to the QuickSight service role is necessary for cross-account access.
* Option C: AWS RAM for Bucket Sharing
* AWS RAM is not required; bucket policies and IAM roles suffice for granting cross- account access.
* Option D: IAM Policy for KMS Access
* QuickSight's service role in BI-Account needs explicit permissions to use the KMS key for decryption.
* Option E: Add KMS Key as Resource for Role
* The KMS key must explicitly list the QuickSight role as an entity that can access it.
* Implementation Steps:
* S3 Bucket Policy in Hub-Account:Add a policy to the S3 bucket granting the QuickSight service role access:
json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": { "AWS": "arn:aws:iam::<BI-Account-ID>:role/service-role/QuickSightRole" },
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::<Bucket-Name>/*"
}
]
}
* KMS Key Policy in Hub-Account:Add permissions for the QuickSight role:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": { "AWS": "arn:aws:iam::<BI-Account-ID>:role/service-role/QuickSightRole" },
"Action": [
"kms:Decrypt",
"kms:DescribeKey"
],
"Resource": "*"
}
]
}
* IAM Policy for QuickSight Role in BI-Account:Attach the following policy to the QuickSight service role:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"kms:Decrypt"
],
"Resource": [
"arn:aws:s3:::<Bucket-Name>/*",
"arn:aws:kms:<region>:<Hub-Account-ID>:key/<KMS-Key-ID>"
]
}
]
}
:
Setting Up Cross-Account S3 Access
AWS KMS Key Policy Examples
Amazon QuickSight Cross-Account Access

NEW QUESTION # 34
A company has a data warehouse that contains a table that is named Sales. The company stores the table in Amazon Redshift The table includes a column that is named city_name. The company wants to query the table to find all rows that have a city_name that starts with "San" or "El." Which SQL query will meet this requirement?

• A. Select * from Sales where city_name -,

  BONUS!!! Download part of Exam4Free Data-Engineer-Associate dumps for free: https://drive.google.com/open?id=1QSM4KXzTUT8wBHuuI8FODNVVwcxzDRUR