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NEW QUESTION: 1
Which one of the following statements about the history of Scrum is NOT correct?
A. Scrum was based on a flexible and all-inclusive product development strategy where the development team works as a unit to reach a common goal.
B. Takeuchi and Nonaka proposed that product development should be like a sequential relay race.
C. Takeuchi and Nonaka based their approach on manufacturing case studies from various industries.
D. The idea of Scrum was derived from a "rugby" approach, in which "a team tries to go the distance as a unit, passing the ball back and forth."
Answer: B
Explanation:
Takeuchi and Nonaka proposed that product development should not be like a sequential relay race, but rather should be analogous to the game of rugby where the team works together, passing the ball back and forth as they move as a unit down the field. The rugby concept of a "Scrum" (where a group of players form together to restart the game) was introduced in this article to describe the authors' proposal that product development should involve "moving the Scrum downfield".
NEW QUESTION: 2
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?
A. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.
B. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.
C. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.
D. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.
Answer: C
Explanation:
Reference:
https://cloud.google.com/bigquery/docs/cloud-sql-federated-queries
NEW QUESTION: 3
Examine Exhibit 1 to view the query and its execution plan.
Examine Exhibit 2 to view the structure and indexes for the EMPLOYEES and DEPARTMENTS tables.
Examine Exhibit 3 to view the initialization parameters for the instance.
Why is sort-merge join chosen as the access method?
A. Because the OPTIMIZER_MODE parameter is set to ALL_ROWS.
B. Because of an inequality condition.
C. Because of the LIKE operator used in the query to filter out records
D. Because the data is not sorted in the LAST_NAME column of the EMPLOYEES table
Answer: A
Explanation:
Incorrect:
B: There is not an inequality condition in the statement.
C: Merge joins are beneficial if the columns are sorted.
D: All regular joins should be able to use Hash or Sort Merge, except LIKE, !=, and NOT ... joins.
Note:
*A sort merge join is a join optimization method where two tables are sorted and then joined.
*A "sort merge" join is performed by sorting the two data sets to be joined according to the join keys and then merging them together. The merge is very cheap, but the sort can be prohibitively expensive especially if the sort spills to disk. The cost of the sort can be lowered if one of the data sets can be accessed in sorted order via an index, although accessing a high proportion of blocks of a table via an index scan can also be very expensive in comparison to a full table scan.
*Sort merge joins are useful when the join condition between two tables is an inequality condition (but not a nonequality) like <, <=, >, or >=. Sort merge joins perform better than nested loop joins for large data sets. You cannot use hash joins unless there is an equality
condition.
*When the Optimizer Uses Sort Merge Joins
The optimizer can choose a sort merge join over a hash join for joining large amounts of
data if any of the following conditions are true:
/ The join condition between two tables is not an equi-join.
/ Because of sorts already required by other operations, the optimizer finds it is cheaper to
use a sort merge than a hash join.
Reference: Oracle Database Performance Tuning Guide , Sort Merge Joins