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NEW QUESTION: 1
暗号化が適切に適用されていない場合、または安全でない転送メカニズムが使用されている場合に発生する可能性がある脅威のタイプは次のうちどれですか？
A. 安全でない直接オブジェクト参照
B. 未検証のリダイレクトと転送
C. 機密データの漏洩
D. セキュリティの構成ミス
Answer: C
Explanation:
Sensitive data exposure occurs when information is not properly secured through encryption and secure transport mechanisms; it can quickly become an easy and broad method for attackers to compromise information. Web applications must enforce strong encryption and security controls on the application side, but secure methods of communications with browsers or other clients used to access the information are also required. Security misconfiguration occurs when applications and systems are not properly configured for security, often a result of misapplied or inadequate baselines. Insecure direct object references occur when code references aspects of the infrastructure, especially internal or private systems, and an attacker can use that knowledge to glean more information about the infrastructure. Unvalidated redirects and forwards occur when an application has functions to forward users to other sites, and these functions are not properly secured to validate the data and redirect requests, thus allowing spoofing for malware or phishing attacks.
NEW QUESTION: 2
Drag and drop the correct functional component from left to its description on right.
Answer:
Explanation:
Explanation
https://www.cisco.com/c/en/us/solutions/collateral/data-center-virtualization/application-centric-infrastructure/w
NEW QUESTION: 3
Which command can you enter to configure a local username with an encrypted password and EXEC mode user privileges?
A. Router(config)#username jdone privilege 15 password 0 PASSWORD1
B. Router(confi)##username jdone privilege password
C. Router(config)#username jdone privilege 1 password 7 08314d5d1aa8
D. Router(config)#username jdone privilege 15 password 0 08314D5D1A48
Answer: C
NEW QUESTION: 4
A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.
The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.
Which solution should the Data Scientist build to satisfy the requirements?
A. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and writes the data to a processed data location in Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
B. Create a schema in the AWS Glue Data Catalog of the incoming data format. Use an Amazon Kinesis Data Firehose delivery stream to stream the data and transform the data to Apache Parquet or ORC format using the AWS Glue Data Catalog before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
C. Use Amazon Kinesis Data Analytics to ingest the streaming data and perform real-time SQL queries to convert the records to Apache Parquet before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
D. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and inserts it into an Amazon RDS PostgreSQL database. Have the Analysts query and run dashboards from the RDS database.
Answer: B