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NEW QUESTION: 1
Examine the Exhibit to view the structure of and indexes for the EMPLOYEES and DEPARTMENTS tables:

EXAMINE the SQL statement and its execution plan:

Which two statements are correct regarding the execution plan?
A. Step 2 is performing nested operation on JOB_ID column of the JOBS table, which is the driven table and the EMPLOYEES table is the driven table.
B. The performance of the query can be improved by creating bitmap index on the JOB_ID column of the EMPLOYEES table.
C. Step 1 is performing nested loop operation on the DEPARTMENT_ID column of the DEPARTMENTS table, which is the driven table and results returned by step 2 in the driving resultset.
D. In step 2 for every row returned by the JOBS table matching rows from the EMPLOYEES table are accessed.
E. The performance of the query can be improved by creating bitmapped index on the DEPARTMENT_ID column of the EMPLOYEES table.
Answer: D,E
Explanation:
As per exhibit:
B, not A, Not C: First isline 5executed, followed by line 4, followed by line 3.
Step 2 is line 4.
E: The Department_ID column has lower cardinality compared to the JOB_ID column, so it is better suited for a bitmapped index.
Note: *Oracle bitmap indexes are very different from standard b-tree indexes. In bitmap structures, a two-dimensional array is created with one column for every row in the table being indexed. Each column represents a distinct value within the bitmapped index. This two-dimensional array represents each value within the index multiplied by the number of rows in the table.
At row retrieval time, Oracle decompresses the bitmap into the RAM data buffers so it can be rapidly scanned for matching values. These matching values are delivered to Oracle in the form of a Row-ID list, and these Row-ID values may directly access the required information.
*The real benefit of bitmapped indexing occurs when one table includes multiple bitmapped indexes. Each individual column may have low cardinality. The creation of multiple bitmapped indexes provides a very powerful method for rapidly answering difficult SQL queries.
*Oracle bitmap indexes are very different from standard b-tree indexes. In bitmap structures, a two-dimensional array is created with one column for every row in the table being indexed. Each column represents a distinct value within the bitmapped index. This two-dimensional array represents each value within the index multiplied by the number of rows in the table.
At row retrieval time, Oracle decompresses the bitmap into the RAM data buffers so it can be rapidly scanned for matching values. These matching values are delivered to Oracle in the form of a Row-ID list, and these Row-ID values may directly access the required information.

NEW QUESTION: 2
Human resource planning for security professionals in your organization is a:
A. Training requirement that is met through once every year user training.
B. Training requirement that is on-going and always changing.
C. Simple and easy task because the threats are getting easier to find and correct.
D. Not needed because automation and anti-virus software has eliminated the threats.
Answer: B

NEW QUESTION: 3
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?
A. Insert data into Google Cloud SQL.
B. Stream data into Google Cloud Datastore.
C. Put flat files into Google Cloud Storage.
D. Load data into Google BigQuery.
Answer: D
Explanation:
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface .
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/

NEW QUESTION: 4
DRAG DROP
A company has an incident process in place for the cloud services that they support. What is the correct order of steps for an incident process?

Answer:
Explanation: