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NEW QUESTION: 1
What information is displayed by the query cleanupcommand?
A. information about damaged files that were transferred to the target container during conversion
B. information about damaged files that are identified in a source storage pool during conversion
C. information about damaged files that were repaired during conversion
D. information about damaged files to exclude before running the conversion
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Use by the query cleanupcommand to display information about damaged files that are identified during a storage pool conversion process.
References: https://www.ibm.com/support/knowledgecenter/SSGSG7_7.1.6/srv.reference/ r_cmd_cleanup_query.html

NEW QUESTION: 2
Which of the following is/are true about trading securities?
I). They are current assets.
II). They are reported at fair market value.
III). Changes in their reported value are allocated directly to retained earnings.
A. I and II.
B. II and III.
C. I, II and III.
Answer: A
Explanation:
Marketable securities classified as "Trading securities" are financial securities purchased with the intent to sell in the near future. They are therefore categorized as current assets and reported at the fair market value on the date of the balance sheet. When the classification of a trading security is changed, the assignation of the security to the new account is carried out at the fair market value on the transfer date, with any gain or loss reflected separately on the income statement.

NEW QUESTION: 3
送信されたペイロードが正しくないことを示すためにREST APIが使用するステータスコードはどれですか。
A. 0
B. 1
C. 2
D. 3
Answer: B

NEW QUESTION: 4


Answer:
Explanation:

Explanation

Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.