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NEW QUESTION: 1
A. Individual Journal line
B. Individual Journal from
C. General ledger, Journal names from
D. General ledger, Parameters from
Answer: D
NEW QUESTION: 2
Match the following shell special characters with their usage:
1) \ a) used in pairs to quote other special characters so they will not be interpreted by the shell or to embed blanks
2) ' ? b) variable substitution
3) { } ~ c) used to escape the special meaning of the next character
4) $ d) wildcard file name expansion
A. 1-b, 2-d, 3-c, 4-a
B. 1-c, 2-a, 3-b, 4-d
C. 1-c, 2-b, 3-a, 4-d
D. 1-d, 2-c, 3, b, 4-a
E. 1-c, 2-a, 3-d, 4-b
F. 1-d, 2-a, 3-c, 4-b
Answer: E
NEW QUESTION: 3
What enables users to validate each other's certificate when they are certified under different certification hierarchies?
A. Multiple certificates
B. Root certification authorities
C. Redundant certification authorities
D. Cross-certification
Answer: D
Explanation:
Cross-certification is the act or process by which two CAs each certifiy a public key of the other, issuing a public-key certificate to that other CA, enabling users that are certified under different certification hierarchies to validate each other's certificate. Source: SHIREY, Robert W., RFC2828: Internet Security Glossary, may 2000.
NEW QUESTION: 4
You are designing a cloud-native historical data processing system to meet the following conditions:
* The data being analyzed is in CSV, Avro, and PDF formats and will be accessed by multiple analysis tools including Cloud Dataproc, BigQuery, and Compute Engine.
* A streaming data pipeline stores new data daily.
* Peformance is not a factor in the solution.
* The solution design should maximize availability.
How should you design data storage for this solution?
A. Store the data in BigQuery. Access the data using the BigQuery Connector on Cloud Dataproc and Compute Engine.
B. Store the data in a regional Cloud Storage bucket. Access the bucket directly using Cloud Dataproc, BigQuery, and Compute Engine.
C. Store the data in a multi-regional Cloud Storage bucket. Access the data directly using Cloud Dataproc, BigQuery, and Compute Engine.
D. Create a Cloud Dataproc cluster with high availability. Store the data in HDFS, and peform analysis as needed.
Answer: C
