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NEW QUESTION: 1
Which of the following description about LSA3, LSA4, and LSA5 is correct?
A. LSA4 will not change after crossing different areas; LSA3 and LSA5 will change.
B. LSA3 will not change after crossing different areas; LSA4 and LSA5 will change.
C. LSA5 will not change after crossing different areas; LSA3 and LSA4 will change.
D. LSA3, LSA4, and LSA5 do not change after crossing different areas.
Answer: C
NEW QUESTION: 2
A FileMaker Pro 12 file contains the following script:
If this script is executed in a context where there is a found set of six records, which value will be returned from the script?
A. 0
B. 1
C. 2
D. 3
E. No value will be returned.
Answer: A
NEW QUESTION: 3
What two ways can a user access the submitted jobs?
A. by taking a form exit from the Address Book
B. by entering 'BV' in the fastpath of a Web Client and selecting a form exit
C. by typing 'Jobs' in the fastpath of a Web Client D C) by selecting Submitted Jobs from the menu
D. by selecting 'My System Profile' from the menu
Answer: B,D
NEW QUESTION: 4
You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this data. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? (Choose two.)
A. Use BigQuery UPDATE to further reduce the size of the dataset.
B. Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro file. Use BigQuery's support for external data sources to query.
C. Denormalize the data as must as possible.
D. Develop a data pipeline where status updates are appended to BigQuery instead of updated.
E. Preserve the structure of the data as much as possible.
Answer: C,D
Explanation:
Denormalization will help in performance by reducing query time, update are not good with bigquery.