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NEW QUESTION: 1

A. Option D
B. Option B
C. Option C
D. Option A
Answer: D

NEW QUESTION: 2
バックアップの実行中に、データサーバーディスクがクラッシュしました。データとバックアップの両方が失われます。ディスクには個人データが含まれていましたが、特別なカテゴリの個人データはありませんでした。プロセッサは、これは個人データの侵害であると述べています。プロセッサの説明は正しいですか？
A. いいえ、ディスク上の個人データは処理されなかったため、破棄されただけです
B. いいえ、これは単なるセキュリティインシデントであり、データ侵害ではありません。
C. はい、特別なカテゴリの個人データがディスクに保存されていなかったため。
D. はい、ディスク上の個人データが違法に処理されたためです。
Answer: D
Explanation:
Yes, because the personal data on the disk were unlawfully processed. Correct. Personal data irretrievably lost is regarded as 'a breach of security leading to unlawful destruction of personal data, which also makes it a personal data breach. (Literature: A, Chapter 5; GDPR Article 4(12)) Yes, because there were no special category personal data stored on the disk. Incorrect. Accidental loss of data is a security incident (data is no longer available). According to the GDPR it is also unlawful processing of personal data, hence a personal data breach. Data do not have to belong to the category of special personal data to fall under the category personal data breach.
No, because no personal data on the disk were processed, only destroyed. Incorrect. A technical malfunction causing data to be no longer available is a security incident. The GDPR sees accidental loss of personal data as unlawful processing (not on instruction of the controller or processor) hence as a personal data breach.
No, because this is only a security incident and not a data breach. Incorrect. Personal data that are irretrievably lost, is regarded as unauthorized processing by the GDPR, hence a personal data breach. The fact that data was accidentally destroyed also makes the event a security incident.

NEW QUESTION: 3
For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?
A. Vehicles stream data directly to Google BigQuery.
B. Vehicles continue to write data using the existing system (FTP).
C. Vehicles write data directly to Google Cloud Pub/Sub.
D. Vehicles write data directly to GCS.
Answer: C
Explanation:
Scale to hundreds of millions of messages per second and pay only for the resources you use. There are no partitions or local instances to manage, reducing operational overhead. Data is automatically and intelligently distributed across data centers over our unique, high-speed private network.
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center.
These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
https://cloud.google.com/pubsub/