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NEW QUESTION: 1
Welche der folgenden Beispiele sind Detektivkontrollen?
A. Überprüfung des Quellcodes und Echoprüfungen in der Telekommunikation
B. Verwendung von Zugriffskontrollsoftware und Bereitstellung von Verschlüsselungssoftware
C. Kontrollpunkte in Produktionsaufträgen und Wiederholungsprozeduren
D. Kontinuität der Betriebsplanung und Sicherungsverfahren
Answer: A

NEW QUESTION: 2
Your company has a requirement to work with a DynamoDB table. There is a security mandate that all data should be encrypted at rest. What is the easiest way to accomplish this for DynamoDB.
Please select:
A. Use the AWS SDK to encrypt the data before sending it to the DynamoDB table
B. Encrypt the table using AWS KMS after it is created
C. Encrypt the DynamoDB table using KMS during its creation
D. Use S3 buckets to encrypt the data before sending it to DynamoDB
Answer: C
Explanation:
The most easiest option is to enable encryption when the DynamoDB table is created.
The AWS Documentation mentions the following
Amazon DynamoDB offers fully managed encryption at rest. DynamoDB encryption at rest provides enhanced security by encrypting your data at rest using an AWS Key Management Service (AWS KMS) managed encryption key for DynamoDB. This functionality eliminates the operational burden and complexity involved in protecting sensitive data.
Option A is partially correct, you can use the AWS SDK to encrypt the data, but the easier option would be to encrypt the table before hand.
Option C is invalid because you cannot encrypt the table after it is created Option D is invalid because encryption for S3 buckets is for the objects in S3 only.
For more information on securing data at rest for DynamoDB please refer to below URL:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/EncryptionAtRest.htmll The correct answer is: Encrypt the DynamoDB table using KMS during its creation Submit your Feedback/Queries to our Experts

NEW QUESTION: 3
Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?
A. Add ", UNNEST(city)" before the WHERE clause.
B. Change "person" to "city.person".
C. Add ", UNNEST(person)" before the WHERE clause.
D. Change "person" to "person.city".
Answer: C
Explanation:
To access the person.city column, you need to "UNNEST(person)" and JOIN it to table1 using a comma.
Reference:
https://cloud.google.com/bigquery/docs/reference/standard-sql/migrating-from-legacy-sql#nested_repeated_results

NEW QUESTION: 4



Answer:
Explanation:

Explanation

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