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NEW QUESTION 49
Which of the following is NOT one of the three main types of triggers that Dataflow supports?

• A. Trigger that is a combination of other triggers
• B. Trigger based on element count
• C. Trigger based on element size in bytes
• D. Trigger based on time

Answer: C

Explanation:
There are three major kinds of triggers that Dataflow supports: 1. Time-based triggers 2. Data-driven triggers. You can set a trigger to emit results from a window when that window has received a certain number of data elements. 3. Composite triggers. These triggers combine multiple time-based or data-driven triggers in some logical way

NEW QUESTION 50
You have spent a few days loading data from comma-separated values (CSV) files into the Google
BigQuery table CLICK_STREAM. The column DTstores the epoch time of click events. For convenience,
you chose a simple schema where every field is treated as the STRINGtype. Now, you want to compute
web session durations of users who visit your site, and you want to change its data type to the
TIMESTAMP. You want to minimize the migration effort without making future queries computationally
expensive. What should you do?

• A. Create a view CLICK_STREAM_V, where strings from the column DTare cast into TIMESTAMPvalues.
  Reference the view CLICK_STREAM_Vinstead of the table CLICK_STREAMfrom now on.
• B. Add two columns to the table CLICK STREAM: TSof the TIMESTAMPtype and IS_NEWof the
  BOOLEANtype. Reload all data in append mode. For each appended row, set the value of IS_NEWto
  true. For future queries, reference the column TSinstead of the column DT, with the WHEREclause
  ensuring that the value of IS_NEWmust be true.
• C. Construct a query to return every row of the table CLICK_STREAM, while using the built-in function to
  cast strings from the column DTinto TIMESTAMPvalues. Run the query into a destination table
  NEW_CLICK_STREAM, in which the column TSis the TIMESTAMPtype. Reference the table
  NEW_CLICK_STREAMinstead of the table CLICK_STREAMfrom now on. In the future, new data is
  loaded into the table NEW_CLICK_STREAM.
• D. Delete the table CLICK_STREAM, and then re-create it such that the column DTis of the TIMESTAMP
  type. Reload the data.
• E. Add a column TSof the TIMESTAMPtype to the table CLICK_STREAM, and populate the numeric
  values from the column TSfor each row. Reference the column TSinstead of the column DTfrom now
  on.

Answer: B

NEW QUESTION 51
Which is the preferred method to use to avoid hotspotting in time series data in Bigtable?

• A. Randomization
• B. Salting
• C. Hashing
• D. Field promotion

Answer: D

Explanation:
Explanation
By default, prefer field promotion. Field promotion avoids hotspotting in almost all cases, and it tends to make it easier to design a row key that facilitates queries.
Reference:
https://cloud.google.com/bigtable/docs/schema-design-time-series#ensure_that_your_row_key_avoids_hotspotti

NEW QUESTION 52
......